{"id":"https://openalex.org/W2083374149","doi":"https://doi.org/10.1117/12.2082329","title":"Toward consistent cell segmentation: quality assessment of cell segments via appearance and geometry features","display_name":"Toward consistent cell segmentation: quality assessment of cell segments via appearance and geometry features","publication_year":2015,"publication_date":"2015-03-19","ids":{"openalex":"https://openalex.org/W2083374149","doi":"https://doi.org/10.1117/12.2082329","mag":"2083374149"},"language":"en","primary_location":{"id":"doi:10.1117/12.2082329","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2082329","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5032832178","display_name":"Andrew Brinker","orcid":null},"institutions":[{"id":"https://openalex.org/I127339247","display_name":"California State University System","ror":"https://ror.org/020qm1538","country_code":"US","type":"education","lineage":["https://openalex.org/I127339247"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrew Brinker","raw_affiliation_strings":["California State Univ. (United States)","California State University (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"California State Univ. (United States)","institution_ids":["https://openalex.org/I127339247"]},{"raw_affiliation_string":"California State University (United States)","institution_ids":["https://openalex.org/I127339247"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074304832","display_name":"Annika Fredrikson","orcid":null},"institutions":[{"id":"https://openalex.org/I203563305","display_name":"Principia College","ror":"https://ror.org/02venxm51","country_code":"US","type":"education","lineage":["https://openalex.org/I203563305"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Annika Fredrikson","raw_affiliation_strings":["Principia College (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Principia College (United States)","institution_ids":["https://openalex.org/I203563305"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100330729","display_name":"Xiaofan Zhang","orcid":"https://orcid.org/0000-0001-5081-3972"},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaofan Zhang","raw_affiliation_strings":["The Univ. of North Carolina at Charlotte (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Univ. of North Carolina at Charlotte (United States)","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002001354","display_name":"Richard Sourvenir","orcid":null},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Richard Sourvenir","raw_affiliation_strings":["The Univ. of North Carolina at Charlotte (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Univ. of North Carolina at Charlotte (United States)","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066553616","display_name":"Shaoting Zhang","orcid":"https://orcid.org/0000-0002-8719-448X"},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shaoting Zhang","raw_affiliation_strings":["The Univ. of North Carolina at Charlotte (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Univ. of North Carolina at Charlotte (United States)","institution_ids":["https://openalex.org/I102149020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4452,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.76975051,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"9420","issue":null,"first_page":"94200O","last_page":"94200O"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10862","display_name":"AI in cancer detection","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9940999746322632,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.8399519324302673},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8077281713485718},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.702244758605957},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.6416008472442627},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6352540254592896},{"id":"https://openalex.org/keywords/generality","display_name":"Generality","score":0.5988930463790894},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5799945592880249},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.5183656811714172},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4878220856189728},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.43152570724487305},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.42289304733276367},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2672879099845886}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8399519324302673},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8077281713485718},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.702244758605957},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.6416008472442627},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6352540254592896},{"id":"https://openalex.org/C2780767217","wikidata":"https://www.wikidata.org/wiki/Q5532421","display_name":"Generality","level":2,"score":0.5988930463790894},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5799945592880249},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.5183656811714172},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4878220856189728},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.43152570724487305},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.42289304733276367},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2672879099845886},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1117/12.2082329","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2082329","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.680.1586","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.680.1586","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://research.rutgers.edu/%7Eshaoting/paper/SPIE_2015.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W136967570","https://openalex.org/W183917731","https://openalex.org/W1491226948","https://openalex.org/W1500029988","https://openalex.org/W1516417927","https://openalex.org/W1945243521","https://openalex.org/W2019637351","https://openalex.org/W2026448092","https://openalex.org/W2036924016","https://openalex.org/W2045234411","https://openalex.org/W2045537846","https://openalex.org/W2085132317","https://openalex.org/W2100383758","https://openalex.org/W2103243046","https://openalex.org/W2107901014","https://openalex.org/W2124752499","https://openalex.org/W2134993189","https://openalex.org/W2141619730","https://openalex.org/W2143093135","https://openalex.org/W2150609397","https://openalex.org/W2151538727","https://openalex.org/W2159551006","https://openalex.org/W2276106123","https://openalex.org/W4206782778","https://openalex.org/W4234110466","https://openalex.org/W6605589998","https://openalex.org/W6629920481","https://openalex.org/W6630856206","https://openalex.org/W6675217498","https://openalex.org/W6678360884","https://openalex.org/W6679922739","https://openalex.org/W6682137105","https://openalex.org/W6683754042"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2185902295","https://openalex.org/W2945274617","https://openalex.org/W2103507220","https://openalex.org/W2055202857","https://openalex.org/W2371519352","https://openalex.org/W4205800335","https://openalex.org/W2386644571","https://openalex.org/W2551987074","https://openalex.org/W2372421320"],"abstract_inverted_index":{"Computer-Aided":[0],"Diagnosis":[1],"(CAD)":[2],"systems":[3],"based":[4,106],"on":[5,9,107],"histopathological":[6,39],"images":[7],"rely":[8],"quality":[10],"low-level":[11],"image":[12],"processing,":[13],"including":[14],"cell":[15,20,32,68],"segmentation.":[16],"Many":[17],"methods":[18,70],"for":[19,74],"segmentation":[21,49,69,111],"lack":[22],"in":[23,38],"generality":[24],"and":[25,34],"struggle":[26],"with":[27,78,90],"the":[28,52,103,108],"wide":[29],"variety":[30],"of":[31,82,94,110],"appearance":[33],"inter-cell":[35],"structure":[36],"present":[37,42],"images.":[40],"We":[41],"a":[43,79,91],"computationally":[44],"efficient":[45],"system":[46],"to":[47,64,71,101],"classify":[48],"results":[50],"as":[51],"first":[53],"step":[54],"toward":[55],"automatic":[56],"segment":[57],"correction.":[58],"This":[59],"general":[60],"method":[61],"can":[62,86,98],"applied":[63],"existing":[65],"or":[66],"future":[67],"provide":[72],"corrections":[73,105],"low-quality":[75],"results.":[76],"Specifically,":[77],"small":[80],"collection":[81],"easy-to-compute":[83],"features,":[84],"we":[85],"identify":[87],"incorrect":[88],"segments":[89],"high":[92],"degree":[93],"accuracy,":[95],"which":[96],"then":[97],"be":[99],"used":[100],"determine":[102],"needed":[104],"type":[109],"failure":[112],"present.":[113]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}