{"id":"https://openalex.org/W2171621204","doi":"https://doi.org/10.1109/isbi.2010.5490096","title":"Computer-aided gleason grading of prostate cancer histopathological images using texton forests","display_name":"Computer-aided gleason grading of prostate cancer histopathological images using texton forests","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2171621204","doi":"https://doi.org/10.1109/isbi.2010.5490096","mag":"2171621204","pmid":"https://pubmed.ncbi.nlm.nih.gov/21221421"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2010.5490096","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2010.5490096","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","raw_type":"proceedings-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/A5016854543","display_name":"Parmeshwar Khurd","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":true,"raw_author_name":"Parmeshwar Khurd","raw_affiliation_strings":["Siemens Corporate Research, Princeton, NJ, USA","Siemens AG Corporate Research and Development, Princeton, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Siemens Corporate Research, Princeton, NJ, USA","institution_ids":["https://openalex.org/I4210137693"]},{"raw_affiliation_string":"Siemens AG Corporate Research and Development, Princeton, NJ, USA","institution_ids":["https://openalex.org/I4210137693"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032338259","display_name":"Claus Bahlmann","orcid":"https://orcid.org/0000-0002-0447-2860"},"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":"Claus Bahlmann","raw_affiliation_strings":["Siemens AG Corporate Research and Development, Princeton, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Siemens AG Corporate Research and Development, Princeton, NJ, USA","institution_ids":["https://openalex.org/I4210137693"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034489239","display_name":"Peter Maday","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":"Peter Maday","raw_affiliation_strings":["Siemens AG Corporate Research and Development, Princeton, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Siemens AG Corporate Research and Development, Princeton, NJ, USA","institution_ids":["https://openalex.org/I4210137693"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027472697","display_name":"Ali Kamen","orcid":"https://orcid.org/0000-0002-1928-2410"},"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":"Ali Kamen","raw_affiliation_strings":["Siemens AG Corporate Research and Development, Princeton, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Siemens AG Corporate Research and Development, Princeton, NJ, USA","institution_ids":["https://openalex.org/I4210137693"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003475426","display_name":"Summer L. Gibbs\u2010Strauss","orcid":null},"institutions":[{"id":"https://openalex.org/I1316535847","display_name":"Beth Israel Deaconess Medical Center","ror":"https://ror.org/04drvxt59","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1316535847"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Summer Gibbs-Strauss","raw_affiliation_strings":["Beth Israel Deaconess Medical Center, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Beth Israel Deaconess Medical Center, Boston, MA, USA","institution_ids":["https://openalex.org/I1316535847"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060918423","display_name":"Elizabeth M. Genega","orcid":null},"institutions":[{"id":"https://openalex.org/I1316535847","display_name":"Beth Israel Deaconess Medical Center","ror":"https://ror.org/04drvxt59","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1316535847"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Elizabeth M. Genega","raw_affiliation_strings":["Beth Israel Deaconess Medical Center, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Beth Israel Deaconess Medical Center, Boston, MA, USA","institution_ids":["https://openalex.org/I1316535847"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113720653","display_name":"John V. Frangioni","orcid":null},"institutions":[{"id":"https://openalex.org/I1316535847","display_name":"Beth Israel Deaconess Medical Center","ror":"https://ror.org/04drvxt59","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1316535847"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John V. Frangioni","raw_affiliation_strings":["Beth Israel Deaconess Medical Center, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Beth Israel Deaconess Medical Center, Boston, MA, USA","institution_ids":["https://openalex.org/I1316535847"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5016854543"],"corresponding_institution_ids":["https://openalex.org/I4210137693"],"apc_list":null,"apc_paid":null,"fwci":5.574,"has_fulltext":false,"cited_by_count":61,"citation_normalized_percentile":{"value":0.95829413,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"14-17 April 2010","issue":null,"first_page":"636","last_page":"639"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9994000196456909,"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":0.9994000196456909,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9972000122070312,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9966999888420105,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6685954332351685},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6592121124267578},{"id":"https://openalex.org/keywords/prostate-cancer","display_name":"Prostate cancer","score":0.6425927877426147},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5589004755020142},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5021617412567139},{"id":"https://openalex.org/keywords/grading","display_name":"Grading (engineering)","score":0.4910619258880615},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.48404258489608765},{"id":"https://openalex.org/keywords/prostate","display_name":"Prostate","score":0.47899600863456726},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.44734546542167664},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4230310916900635},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3833901286125183},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.21439987421035767},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.14740082621574402}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6685954332351685},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6592121124267578},{"id":"https://openalex.org/C2780192828","wikidata":"https://www.wikidata.org/wiki/Q181257","display_name":"Prostate cancer","level":3,"score":0.6425927877426147},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5589004755020142},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5021617412567139},{"id":"https://openalex.org/C2777286243","wikidata":"https://www.wikidata.org/wiki/Q5591926","display_name":"Grading (engineering)","level":2,"score":0.4910619258880615},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.48404258489608765},{"id":"https://openalex.org/C2776235491","wikidata":"https://www.wikidata.org/wiki/Q9625","display_name":"Prostate","level":3,"score":0.47899600863456726},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.44734546542167664},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4230310916900635},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3833901286125183},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.21439987421035767},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.14740082621574402},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil 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}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/isbi.2010.5490096","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2010.5490096","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","raw_type":"proceedings-article"},{"id":"pmid:21221421","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/21221421","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":"Proceedings. IEEE International Symposium on Biomedical Imaging","raw_type":null},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.378.7262","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.378.7262","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://lmb.informatik.uni-freiburg.de/people/bahlmann/data/kh_ba_ma_ka_isbi2010.pdf","raw_type":"text"},{"id":"pmh:oai:europepmc.org:2087412","is_oa":false,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3017375","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2100588357","https://openalex.org/W2104170135","https://openalex.org/W2106918289","https://openalex.org/W2111560940","https://openalex.org/W2120974337","https://openalex.org/W2134993189","https://openalex.org/W2146655125","https://openalex.org/W2153635508","https://openalex.org/W2155231285","https://openalex.org/W2156398782","https://openalex.org/W2160738726","https://openalex.org/W2162915993","https://openalex.org/W2165888865","https://openalex.org/W2166544843","https://openalex.org/W3120421331","https://openalex.org/W6675679986","https://openalex.org/W6676491359","https://openalex.org/W6683935561","https://openalex.org/W6684180922"],"related_works":["https://openalex.org/W3193043704","https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W3171520305","https://openalex.org/W1924178503","https://openalex.org/W4200112873","https://openalex.org/W2955796858","https://openalex.org/W4224941037","https://openalex.org/W2004826645","https://openalex.org/W3135818052"],"abstract_inverted_index":{"The":[0],"Gleason":[1,35,42,61,124],"score":[2],"is":[3,44],"the":[4,29,34,38,66,95,102,116],"single":[5],"most":[6],"important":[7],"prognostic":[8],"indicator":[9],"for":[10,32,57],"prostate":[11,25],"cancer":[12],"candidates":[13],"and":[14,47,59,127],"plays":[15],"a":[16,45,53,72],"significant":[17],"role":[18],"in":[19,68,107,121],"treatment":[20],"planning.":[21],"Histopathological":[22],"imaging":[23],"of":[24,41,118],"tissue":[26],"samples":[27],"provides":[28],"gold":[30],"standard":[31],"obtaining":[33],"score,":[36],"but":[37],"manual":[39],"assignment":[40],"grades":[43,125],"labor-intensive":[46],"error-prone":[48],"process.":[49],"We":[50,88,113],"have":[51,89,114],"developed":[52],"texture":[54,67,86],"classification":[55],"system":[56,64,120],"automatic":[58],"reproducible":[60],"grading.":[62],"Our":[63],"characterizes":[65],"images":[69],"belonging":[70],"to":[71,93],"tumor":[73],"grade":[74],"by":[75,101],"clustering":[76],"extracted":[77],"filter":[78,96],"responses":[79,97],"at":[80],"each":[81],"pixel":[82],"into":[83,98],"textons":[84,99],"(basic":[85],"elements).":[87],"used":[90],"random":[91],"forests":[92],"cluster":[94],"followed":[100],"spatial":[103],"pyramid":[104],"match":[105],"kernel":[106],"conjunction":[108],"with":[109],"an":[110],"SVM":[111],"classifier.":[112],"demonstrated":[115],"efficacy":[117],"our":[119],"distinguishing":[122],"between":[123],"3":[126],"4.":[128]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":10},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
