{"id":"https://openalex.org/W2792301348","doi":"https://doi.org/10.1117/12.2292450","title":"Automatic cancer detection and localization on prostatectomy histopathology images","display_name":"Automatic cancer detection and localization on prostatectomy histopathology images","publication_year":2018,"publication_date":"2018-03-06","ids":{"openalex":"https://openalex.org/W2792301348","doi":"https://doi.org/10.1117/12.2292450","mag":"2792301348"},"language":"en","primary_location":{"id":"doi:10.1117/12.2292450","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2292450","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2018: Digital Pathology","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/A5052986343","display_name":"Wenchao Han","orcid":null},"institutions":[{"id":"https://openalex.org/I131944076","display_name":"Lawson Health Research Institute","ror":"https://ror.org/051gsh239","country_code":"CA","type":"funder","lineage":["https://openalex.org/I131944076"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Wenchao Han","raw_affiliation_strings":["Lawson Health Research Institute (Canada)","London Regional Cancer Program (Canada)","Western Univ. (Canada)"],"affiliations":[{"raw_affiliation_string":"Lawson Health Research Institute (Canada)","institution_ids":["https://openalex.org/I131944076"]},{"raw_affiliation_string":"London Regional Cancer Program (Canada)","institution_ids":[]},{"raw_affiliation_string":"Western Univ. (Canada)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113914224","display_name":"Aaron D. Ward","orcid":null},"institutions":[{"id":"https://openalex.org/I131944076","display_name":"Lawson Health Research Institute","ror":"https://ror.org/051gsh239","country_code":"CA","type":"funder","lineage":["https://openalex.org/I131944076"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Aaron D. Ward","raw_affiliation_strings":["Lawson Health Research Institute (Canada)","London Regional Cancer Program (Canada)","Western Univ. (Canada)"],"affiliations":[{"raw_affiliation_string":"Lawson Health Research Institute (Canada)","institution_ids":["https://openalex.org/I131944076"]},{"raw_affiliation_string":"London Regional Cancer Program (Canada)","institution_ids":[]},{"raw_affiliation_string":"Western Univ. (Canada)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101541529","display_name":"Carol Johnson","orcid":"https://orcid.org/0009-0008-1242-6339"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Carol Johnson","raw_affiliation_strings":["London Regional Cancer Program (Canada)"],"affiliations":[{"raw_affiliation_string":"London Regional Cancer Program (Canada)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071439377","display_name":"Jos\u00e9 A. G\u00f3mez","orcid":"https://orcid.org/0000-0001-8148-8308"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jos\u00e9 Gomez","raw_affiliation_strings":["Western Univ. (Canada)"],"affiliations":[{"raw_affiliation_string":"Western Univ. (Canada)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060699372","display_name":"Mena Gaed","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mena Gaed","raw_affiliation_strings":["Western Univ. (Canada)"],"affiliations":[{"raw_affiliation_string":"Western Univ. (Canada)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046888497","display_name":"Joseph L. Chin","orcid":"https://orcid.org/0000-0002-1171-1436"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Joseph Chin","raw_affiliation_strings":["Western Univ. (Canada)"],"affiliations":[{"raw_affiliation_string":"Western Univ. (Canada)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048665338","display_name":"Stephen Pautler","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stephen Pautler","raw_affiliation_strings":["Western Univ. (Canada)"],"affiliations":[{"raw_affiliation_string":"Western Univ. (Canada)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019768466","display_name":"Glenn Bauman","orcid":"https://orcid.org/0000-0002-5279-7360"},"institutions":[{"id":"https://openalex.org/I131944076","display_name":"Lawson Health Research Institute","ror":"https://ror.org/051gsh239","country_code":"CA","type":"funder","lineage":["https://openalex.org/I131944076"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Glenn Bauman","raw_affiliation_strings":["Lawson Health Research Institute (Canada)","Western Univ. (Canada)"],"affiliations":[{"raw_affiliation_string":"Lawson Health Research Institute (Canada)","institution_ids":["https://openalex.org/I131944076"]},{"raw_affiliation_string":"Western Univ. (Canada)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055091318","display_name":"Madeleine Moussa","orcid":"https://orcid.org/0000-0003-4786-6226"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Madeleine Moussa","raw_affiliation_strings":["Western Univ. (Canada)"],"affiliations":[{"raw_affiliation_string":"Western Univ. (Canada)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5052986343"],"corresponding_institution_ids":["https://openalex.org/I131944076"],"apc_list":null,"apc_paid":null,"fwci":0.4887,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.71529548,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"25","last_page":"25"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9997000098228455,"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":0.9997000098228455,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/digital-pathology","display_name":"Digital pathology","score":0.6658409833908081},{"id":"https://openalex.org/keywords/prostatectomy","display_name":"Prostatectomy","score":0.6606835126876831},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6590182185173035},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6411810517311096},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4727157950401306},{"id":"https://openalex.org/keywords/cross-validation","display_name":"Cross-validation","score":0.4378589391708374},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4367210566997528},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.42678302526474},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4227340817451477},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4217957854270935},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.34331637620925903},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3410501480102539},{"id":"https://openalex.org/keywords/prostate-cancer","display_name":"Prostate cancer","score":0.3205973505973816},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.254963219165802},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.17699003219604492},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12512695789337158}],"concepts":[{"id":"https://openalex.org/C2777522853","wikidata":"https://www.wikidata.org/wiki/Q5276128","display_name":"Digital pathology","level":2,"score":0.6658409833908081},{"id":"https://openalex.org/C2779466945","wikidata":"https://www.wikidata.org/wiki/Q1765251","display_name":"Prostatectomy","level":4,"score":0.6606835126876831},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6590182185173035},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6411810517311096},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4727157950401306},{"id":"https://openalex.org/C27181475","wikidata":"https://www.wikidata.org/wiki/Q541014","display_name":"Cross-validation","level":2,"score":0.4378589391708374},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4367210566997528},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.42678302526474},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4227340817451477},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4217957854270935},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.34331637620925903},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3410501480102539},{"id":"https://openalex.org/C2780192828","wikidata":"https://www.wikidata.org/wiki/Q181257","display_name":"Prostate cancer","level":3,"score":0.3205973505973816},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.254963219165802},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.17699003219604492},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12512695789337158},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2292450","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2292450","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2018: Digital Pathology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1597336200","https://openalex.org/W1983061350","https://openalex.org/W2003295161","https://openalex.org/W2044465660","https://openalex.org/W2069549207","https://openalex.org/W2102480024","https://openalex.org/W2103137007","https://openalex.org/W2134993189","https://openalex.org/W2138707703","https://openalex.org/W2144854846","https://openalex.org/W2159790321","https://openalex.org/W6635816984","https://openalex.org/W6646172413","https://openalex.org/W6667897778","https://openalex.org/W6679922739","https://openalex.org/W6681295199"],"related_works":["https://openalex.org/W2023475404","https://openalex.org/W2075009997","https://openalex.org/W2066092646","https://openalex.org/W1975767702","https://openalex.org/W2141682962","https://openalex.org/W2136861322","https://openalex.org/W2409991602","https://openalex.org/W2047832417","https://openalex.org/W2035923952","https://openalex.org/W2172257731"],"abstract_inverted_index":{"Automatic":[0],"localization":[1],"of":[2,118,203,222],"cancer":[3,156],"on":[4,73,81,152],"whole-slide":[5,61,95],"histology":[6],"images":[7],"from":[8,93,103,138,205],"radical":[9],"prostatectomy":[10],"specimens":[11],"would":[12],"support":[13,190],"quantitative,":[14],"graphical":[15],"pathology":[16,55,238],"reporting":[17,239],"and":[18,46,57,65,78,122,134,143,177,220,240],"research":[19],"studies":[20,244],"validating":[21],"in":[22],"vivo":[23],"imaging":[24,242],"against":[25,163],"gold-standard":[26],"histopathology.":[27],"There":[28],"is":[29,38,43,58,110],"an":[30,74,195],"unmet":[31],"need":[32],"for":[33,212],"such":[34,67],"a":[35,68,82,107,170],"system":[36,98,130,160,209,230],"that":[37,109,166],"robust":[39,111],"to":[40,49,112,148,180,234],"staining":[41,113],"variability,":[42,114],"sufficiently":[44],"fast":[45],"parallelizable":[47],"as":[48,155],"be":[50],"integrated":[51],"into":[52],"the":[53,116,139,153,198,223,232],"clinical":[54],"workflow,":[56],"validated":[59,66,162],"using":[60,106,245],"images.":[62,96],"We":[63,173],"developed":[64],"system,":[69],"with":[70,183,217],"tuning":[71],"occurring":[72,80],"8-patient":[75],"data":[76,85,105],"set":[77,86],"cross-validation":[79,179],"separate":[83],"41-patient":[84],"comprising":[87],"703,745":[88],"480<i>&mu;m</i>":[89,91],"\u00d7":[90],"sub-images":[92],"166":[94],"Our":[97,129],"computes":[99,132],"tissue":[100,126,140],"component":[101,141],"maps":[102,142],"pixel":[104],"technique":[108],"showing":[115],"loci":[117],"nuclei,":[119],"luminal":[120],"areas,":[121],"areas":[123],"containing":[124],"other":[125],"including":[127],"stroma.":[128],"then":[131],"first-":[133],"second-order":[135],"texture":[136],"features":[137],"uses":[144],"machine":[145,192],"learning":[146],"techniques":[147],"classify":[149],"each":[150],"sub-image":[151],"slide":[154],"or":[157],"non-cancer.":[158],"The":[159,187,208],"was":[161],"expert-drawn":[164],"contours":[165],"were":[167],"verified":[168],"by":[169],"genitourinary":[171],"pathologist.":[172],"used":[174],"leave-one-patient-out,":[175],"5-fold,":[176],"2-fold":[178],"measure":[181],"performance":[182],"three":[184],"different":[185],"classifiers.":[186],"best":[188],"performing":[189],"vector":[191],"classifier":[193],"yielded":[194],"area":[196],"under":[197],"receiver":[199],"operating":[200],"characteristic":[201],"curve":[202],"0.95":[204],"leave-one-out":[206],"cross-validation.":[207],"demonstrated":[210],"potential":[211,233],"practically":[213],"useful":[214],"computation":[215],"speeds,":[216],"further":[218],"optimization":[219],"parallelization":[221],"implementation.":[224],"Upon":[225],"successful":[226],"multi-centre":[227],"validation,":[228],"this":[229],"has":[231],"enable":[235],"quantitative":[236],"surgical":[237],"accelerate":[241],"validation":[243],"histopathologic":[246],"reference":[247],"standards.":[248]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
