{"id":"https://openalex.org/W2145195491","doi":"https://doi.org/10.1109/tmi.2010.2077308","title":"Using a Visual Discrimination Model for the Detection of Compression Artifacts in Virtual Pathology Images","display_name":"Using a Visual Discrimination Model for the Detection of Compression Artifacts in Virtual Pathology Images","publication_year":2010,"publication_date":"2010-09-29","ids":{"openalex":"https://openalex.org/W2145195491","doi":"https://doi.org/10.1109/tmi.2010.2077308","mag":"2145195491","pmid":"https://pubmed.ncbi.nlm.nih.gov/20875970"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2010.2077308","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2010.2077308","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007052115","display_name":"Jeffrey P. Johnson","orcid":"https://orcid.org/0000-0003-4269-3098"},"institutions":[{"id":"https://openalex.org/I4210137693","display_name":"Siemens (United States)","ror":"https://ror.org/04axb7e79","country_code":"US","type":"company","lineage":["https://openalex.org/I1325886976","https://openalex.org/I4210137693"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jeffrey P Johnson","raw_affiliation_strings":["Siemens Corporate Research, Princeton, NJ 08540, USA. johnson.jeffrey@siemens.com","Siemens Corp. Res., Princeton, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Siemens Corporate Research, Princeton, NJ 08540, USA. johnson.jeffrey@siemens.com","institution_ids":["https://openalex.org/I4210137693"]},{"raw_affiliation_string":"Siemens Corp. Res., Princeton, NJ, USA","institution_ids":["https://openalex.org/I4210137693"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060896454","display_name":"Elizabeth A. Krupinski","orcid":"https://orcid.org/0000-0003-2996-7242"},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Elizabeth A Krupinski","raw_affiliation_strings":["Department of Radiology, University of Arizona Tucson, Tucson, AZ, USA","Dept. of Radiol., Univ. of Arizona, Tucson, AZ, USA"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, University of Arizona Tucson, Tucson, AZ, USA","institution_ids":["https://openalex.org/I138006243"]},{"raw_affiliation_string":"Dept. of Radiol., Univ. of Arizona, Tucson, AZ, USA","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113663870","display_name":"Michelle Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210137693","display_name":"Siemens (United States)","ror":"https://ror.org/04axb7e79","country_code":"US","type":"company","lineage":["https://openalex.org/I1325886976","https://openalex.org/I4210137693"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michelle Yan","raw_affiliation_strings":["Siemens AG Corporate Research and Development, Princeton, NJ, USA","Siemens Corp. Res., Princeton, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Siemens AG Corporate Research and Development, Princeton, NJ, USA","institution_ids":["https://openalex.org/I4210137693"]},{"raw_affiliation_string":"Siemens Corp. Res., Princeton, NJ, USA","institution_ids":["https://openalex.org/I4210137693"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022490621","display_name":"Hans Roehrig","orcid":null},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hans Roehrig","raw_affiliation_strings":["Department of Radiology, University of Arizona Tucson, Tucson, AZ, USA","Dept. of Radiol., Univ. of Arizona, Tucson, AZ, USA"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, University of Arizona Tucson, Tucson, AZ, USA","institution_ids":["https://openalex.org/I138006243"]},{"raw_affiliation_string":"Dept. of Radiol., Univ. of Arizona, Tucson, AZ, USA","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008404749","display_name":"Anna R. Graham","orcid":"https://orcid.org/0000-0002-7089-3911"},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anna R Graham","raw_affiliation_strings":["Department of Pathology, University of Arizona Tucson, Tucson, AZ, USA","Department of Pathology, University of Arizona, Tucson, AZ, USA,"],"affiliations":[{"raw_affiliation_string":"Department of Pathology, University of Arizona Tucson, Tucson, AZ, USA","institution_ids":["https://openalex.org/I138006243"]},{"raw_affiliation_string":"Department of Pathology, University of Arizona, Tucson, AZ, USA,","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058560274","display_name":"Ronald S. Weinstein","orcid":"https://orcid.org/0000-0003-3272-9587"},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ronald S Weinstein","raw_affiliation_strings":["Department of Pathology, University of Arizona Tucson, Tucson, AZ, USA","Department of Pathology, University of Arizona, Tucson, AZ, USA,"],"affiliations":[{"raw_affiliation_string":"Department of Pathology, University of Arizona Tucson, Tucson, AZ, USA","institution_ids":["https://openalex.org/I138006243"]},{"raw_affiliation_string":"Department of Pathology, University of Arizona, Tucson, AZ, USA,","institution_ids":["https://openalex.org/I138006243"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5007052115"],"corresponding_institution_ids":["https://openalex.org/I4210137693"],"apc_list":null,"apc_paid":null,"fwci":4.8496,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.95742232,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"30","issue":"2","first_page":"306","last_page":"314"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.8476890921592712},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.830644965171814},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.751122236251831},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6021728515625},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.5924066305160522},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5864531993865967},{"id":"https://openalex.org/keywords/jpeg","display_name":"JPEG","score":0.5730569362640381},{"id":"https://openalex.org/keywords/jpeg-2000","display_name":"JPEG 2000","score":0.5540008544921875},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5499132871627808},{"id":"https://openalex.org/keywords/compression-artifact","display_name":"Compression artifact","score":0.5063337087631226},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.48402827978134155},{"id":"https://openalex.org/keywords/human-visual-system-model","display_name":"Human visual system model","score":0.4775339365005493},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4412335157394409},{"id":"https://openalex.org/keywords/data-compression-ratio","display_name":"Data compression ratio","score":0.43784910440444946},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.42792263627052307},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.25693976879119873},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1522311270236969},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1415385603904724}],"concepts":[{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.8476890921592712},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.830644965171814},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.751122236251831},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6021728515625},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.5924066305160522},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5864531993865967},{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.5730569362640381},{"id":"https://openalex.org/C69216139","wikidata":"https://www.wikidata.org/wiki/Q931783","display_name":"JPEG 2000","level":5,"score":0.5540008544921875},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5499132871627808},{"id":"https://openalex.org/C57654395","wikidata":"https://www.wikidata.org/wiki/Q1097775","display_name":"Compression artifact","level":5,"score":0.5063337087631226},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.48402827978134155},{"id":"https://openalex.org/C160086991","wikidata":"https://www.wikidata.org/wiki/Q5939193","display_name":"Human visual system model","level":3,"score":0.4775339365005493},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4412335157394409},{"id":"https://openalex.org/C94835093","wikidata":"https://www.wikidata.org/wiki/Q3113333","display_name":"Data compression ratio","level":5,"score":0.43784910440444946},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.42792263627052307},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.25693976879119873},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1522311270236969},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1415385603904724},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C511840579","wikidata":"https://www.wikidata.org/wiki/Q12757","display_name":"Internal combustion engine","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001940","descriptor_name":"Breast","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":false},{"descriptor_ui":"D001940","descriptor_name":"Breast","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":false},{"descriptor_ui":"D001940","descriptor_name":"Breast","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":false},{"descriptor_ui":"D001940","descriptor_name":"Breast","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":false},{"descriptor_ui":"D001940","descriptor_name":"Breast","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":false},{"descriptor_ui":"D001940","descriptor_name":"Breast","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006651","descriptor_name":"Histocytochemistry","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D006651","descriptor_name":"Histocytochemistry","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D006651","descriptor_name":"Histocytochemistry","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D006651","descriptor_name":"Histocytochemistry","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D006651","descriptor_name":"Histocytochemistry","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D006651","descriptor_name":"Histocytochemistry","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008853","descriptor_name":"Microscopy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008853","descriptor_name":"Microscopy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008853","descriptor_name":"Microscopy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008853","descriptor_name":"Microscopy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008853","descriptor_name":"Microscopy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008853","descriptor_name":"Microscopy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016018","descriptor_name":"Least-Squares Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016018","descriptor_name":"Least-Squares Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016018","descriptor_name":"Least-Squares Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016018","descriptor_name":"Least-Squares Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016018","descriptor_name":"Least-Squares Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016018","descriptor_name":"Least-Squares Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019113","descriptor_name":"Telepathology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019113","descriptor_name":"Telepathology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019113","descriptor_name":"Telepathology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019113","descriptor_name":"Telepathology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019113","descriptor_name":"Telepathology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019113","descriptor_name":"Telepathology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D022082","descriptor_name":"Cellular Structures","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D022082","descriptor_name":"Cellular Structures","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D022082","descriptor_name":"Cellular Structures","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D022082","descriptor_name":"Cellular Structures","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D022082","descriptor_name":"Cellular Structures","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D022082","descriptor_name":"Cellular Structures","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/tmi.2010.2077308","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2010.2077308","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:20875970","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/20875970","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on medical imaging","raw_type":null},{"id":"pmh:oai:europepmc.org:2869974","is_oa":false,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3881239","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W42232744","https://openalex.org/W122978094","https://openalex.org/W1581676061","https://openalex.org/W1582007138","https://openalex.org/W1976752925","https://openalex.org/W1983997378","https://openalex.org/W1995148519","https://openalex.org/W2007895509","https://openalex.org/W2007932953","https://openalex.org/W2015889839","https://openalex.org/W2018919355","https://openalex.org/W2025175823","https://openalex.org/W2026751847","https://openalex.org/W2030830505","https://openalex.org/W2031492610","https://openalex.org/W2035623690","https://openalex.org/W2042036980","https://openalex.org/W2058497201","https://openalex.org/W2076514710","https://openalex.org/W2125612352","https://openalex.org/W2133665775","https://openalex.org/W2134774992","https://openalex.org/W2145195491","https://openalex.org/W2146619911","https://openalex.org/W2148936748","https://openalex.org/W2158042043","https://openalex.org/W2167034998","https://openalex.org/W2171812326","https://openalex.org/W2249223154","https://openalex.org/W2319349998","https://openalex.org/W2495297484","https://openalex.org/W4248663322","https://openalex.org/W4294214781","https://openalex.org/W4321466059","https://openalex.org/W6658002606"],"related_works":["https://openalex.org/W2441603424","https://openalex.org/W2542654834","https://openalex.org/W4243959093","https://openalex.org/W2159814397","https://openalex.org/W3095399624","https://openalex.org/W2104101678","https://openalex.org/W1968318766","https://openalex.org/W4312760377","https://openalex.org/W1994319845","https://openalex.org/W3137515556"],"abstract_inverted_index":{"A":[0],"major":[1],"issue":[2],"in":[3,27],"telepathology":[4],"is":[5],"the":[6,74,99,163,169,201,215],"extremely":[7],"large":[8],"and":[9,23,34,67,94,107,175,185],"growing":[10],"size":[11],"of":[12,21,45,101,122,141,203,218],"digitized":[13],"\"virtual\"":[14],"slides,":[15],"which":[16],"can":[17,40,63],"require":[18],"several":[19],"gigabytes":[20],"storage":[22],"cause":[24],"significant":[25],"delays":[26],"data":[28,54,216],"transmission":[29],"for":[30,76,111,125,138],"remote":[31],"image":[32,65,92],"interpretation":[33],"interactive":[35],"visualization":[36],"by":[37,162],"pathologists.":[38],"Compression":[39],"reduce":[41],"this":[42],"massive":[43],"amount":[44],"virtual":[46,123,146,204],"slide":[47],"data,":[48],"but":[49,84],"reversible":[50,219],"(lossless)":[51],"methods":[52],"limit":[53],"reduction":[55,217],"to":[56,91,118,152,199,206],"less":[57,178],"than":[58,180],"50%,":[59],"while":[60,211],"lossy":[61],"compression":[62,72,79,121,202,210],"degrade":[64],"quality":[66],"diagnostic":[68],"accuracy.":[69],"\"Visually":[70],"lossless\"":[71],"offers":[73],"potential":[75],"using":[77],"higher":[78],"levels":[80],"without":[81],"noticeable":[82],"artifacts,":[83],"requires":[85],"a":[86,102,139],"rate-control":[87],"strategy":[88],"that":[89,193],"adapts":[90],"content":[93],"loss":[95],"visibility.":[96],"We":[97],"investigated":[98],"utility":[100],"visual":[103],"discrimination":[104],"model":[105],"(VDM)":[106],"other":[108],"distortion":[109],"metrics":[110,160,195],"predicting":[112],"JPEG":[113],"2000":[114],"bit":[115,130],"rates":[116,131],"corresponding":[117],"visually":[119,154,208],"lossless":[120,155,209],"slides":[124,205],"breast":[126],"biopsy":[127],"specimens.":[128],"Threshold":[129],"were":[132,165,176],"determined":[133],"experimentally":[134],"with":[135],"human":[136],"observers":[137],"variety":[140],"tissue":[142],"regions":[143],"cropped":[144],"from":[145],"slides.":[147],"For":[148],"test":[149],"images":[150],"compressed":[151],"their":[153],"thresholds,":[156],"just-noticeable":[157],"difference":[158],"(JND)":[159],"computed":[161],"VDM":[164,194],"nearly":[166],"constant":[167],"at":[168],"95th":[170],"percentile":[171],"level":[172],"or":[173],"higher,":[174],"significantly":[177],"variable":[179],"peak":[181],"signal-to-noise":[182],"ratio":[183],"(PSNR)":[184],"structural":[186],"similarity":[187],"(SSIM)":[188],"metrics.":[189],"Our":[190],"results":[191],"suggest":[192],"could":[196],"be":[197],"used":[198],"guide":[200],"achieve":[207],"providing":[212],"5-12":[213],"times":[214],"methods.":[220]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":7}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}