{"id":"https://openalex.org/W2530318160","doi":"https://doi.org/10.1109/bibm.2017.8217719","title":"Deep learning assessment of tumor proliferation in breast cancer histological images","display_name":"Deep learning assessment of tumor proliferation in breast cancer histological images","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2530318160","doi":"https://doi.org/10.1109/bibm.2017.8217719","mag":"2530318160"},"language":"en","primary_location":{"id":"doi:10.1109/bibm.2017.8217719","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2017.8217719","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5082670242","display_name":"Manan Shah","orcid":"https://orcid.org/0000-0001-8865-6896"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Manan Shah","raw_affiliation_strings":["Department of Computer Science, Stanford University, Stanford, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Stanford University, Stanford, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059976286","display_name":"D. Wang","orcid":"https://orcid.org/0000-0002-9013-1199"},"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":"Dayong Wang","raw_affiliation_strings":["Department of Pathology, Beth Israel Deaconess Medical Center, Boston, USA"],"affiliations":[{"raw_affiliation_string":"Department of Pathology, Beth Israel Deaconess Medical Center, Boston, USA","institution_ids":["https://openalex.org/I1316535847"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046985288","display_name":"Christopher A. Rubadue","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":"Christopher Rubadue","raw_affiliation_strings":["Department of Pathology, Beth Israel Deaconess Medical Center, Boston, USA"],"affiliations":[{"raw_affiliation_string":"Department of Pathology, Beth Israel Deaconess Medical Center, Boston, USA","institution_ids":["https://openalex.org/I1316535847"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077523407","display_name":"David Suster","orcid":"https://orcid.org/0000-0002-7986-4340"},"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":"David Suster","raw_affiliation_strings":["Department of Pathology, Beth Israel Deaconess Medical Center, Boston, USA"],"affiliations":[{"raw_affiliation_string":"Department of Pathology, Beth Israel Deaconess Medical Center, Boston, USA","institution_ids":["https://openalex.org/I1316535847"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102809628","display_name":"Andrew H. Beck","orcid":"https://orcid.org/0000-0002-9978-134X"},"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":"Andrew Beck","raw_affiliation_strings":["Department of Pathology, Beth Israel Deaconess Medical Center, Boston, USA"],"affiliations":[{"raw_affiliation_string":"Department of Pathology, Beth Israel Deaconess Medical Center, Boston, USA","institution_ids":["https://openalex.org/I1316535847"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5082670242"],"corresponding_institution_ids":["https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":4.9884,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.96047309,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"11","issue":null,"first_page":"600","last_page":"603"},"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9958999752998352,"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"}},{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9884999990463257,"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/categorical-variable","display_name":"Categorical variable","score":0.6912370920181274},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5988000631332397},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.5787385702133179},{"id":"https://openalex.org/keywords/rank-correlation","display_name":"Rank correlation","score":0.5749316215515137},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5184416770935059},{"id":"https://openalex.org/keywords/biomarker","display_name":"Biomarker","score":0.46800652146339417},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.45097464323043823},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.4442584216594696},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4353613257408142},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4249931275844574},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40559035539627075},{"id":"https://openalex.org/keywords/oncology","display_name":"Oncology","score":0.3725050091743469},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3720859885215759},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.3666072487831116},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.32096201181411743},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.2972567677497864},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.19667819142341614},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1502555012702942}],"concepts":[{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.6912370920181274},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5988000631332397},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.5787385702133179},{"id":"https://openalex.org/C101601086","wikidata":"https://www.wikidata.org/wiki/Q3753228","display_name":"Rank correlation","level":2,"score":0.5749316215515137},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5184416770935059},{"id":"https://openalex.org/C2781197716","wikidata":"https://www.wikidata.org/wiki/Q864574","display_name":"Biomarker","level":2,"score":0.46800652146339417},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.45097464323043823},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.4442584216594696},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4353613257408142},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4249931275844574},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40559035539627075},{"id":"https://openalex.org/C143998085","wikidata":"https://www.wikidata.org/wiki/Q162555","display_name":"Oncology","level":1,"score":0.3725050091743469},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3720859885215759},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.3666072487831116},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.32096201181411743},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.2972567677497864},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.19667819142341614},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1502555012702942},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm.2017.8217719","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2017.8217719","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.800000011920929,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1903029394","https://openalex.org/W1976822041","https://openalex.org/W2097117768","https://openalex.org/W2102593897","https://openalex.org/W2127714324","https://openalex.org/W2133059825","https://openalex.org/W2159640182","https://openalex.org/W2161109798","https://openalex.org/W2168658644","https://openalex.org/W2194775991","https://openalex.org/W2220945839","https://openalex.org/W2264887978","https://openalex.org/W2395611524","https://openalex.org/W2516333753","https://openalex.org/W2570764145","https://openalex.org/W2949071206","https://openalex.org/W2963446712","https://openalex.org/W6680096826"],"related_works":["https://openalex.org/W2562018983","https://openalex.org/W3097028157","https://openalex.org/W4400233955","https://openalex.org/W2463069270","https://openalex.org/W2949627706","https://openalex.org/W2906869600","https://openalex.org/W4232475722","https://openalex.org/W3085398489","https://openalex.org/W4361792233","https://openalex.org/W1245711760"],"abstract_inverted_index":{"Current":[0],"analysis":[1],"of":[2,23,38,77,91,117],"tumor":[3,39,70,118],"proliferation,":[4,119],"the":[5,29,36,114,126],"most":[6],"salient":[7,52],"breast":[8],"cancer":[9],"prognostic":[10,60],"biomarker,":[11],"is":[12,103],"limited":[13],"to":[14,34,56,105,113,128],"subjective":[15],"mitosis":[16],"counting":[17],"by":[18],"pathologists":[19],"in":[20],"localized":[21],"regions":[22],"tissue":[24,83],"images.":[25,134],"This":[26],"study":[27],"presents":[28],"first":[30,127],"data-driven":[31],"integrative":[32,123],"approach":[33,63],"characterize":[35],"severity":[37,71],"growth":[40],"and":[41,46,130],"spread":[42],"on":[43,67],"a":[44,58,82,86],"categorical":[45,69],"molecular":[47,78],"level,":[48],"utilizing":[49],"multiple":[50],"biologically":[51],"deep":[53],"learning":[54],"classifiers":[55],"develop":[57],"comprehensive":[59],"model.":[61],"Our":[62],"achieves":[64],"pathologist-level":[65],"performance":[66],"three-class":[68],"prediction.":[72],"It":[73],"additionally":[74],"pioneers":[75],"prediction":[76],"expression":[79],"data":[80],"from":[81],"image,":[84],"obtaining":[85],"Spearman's":[87],"rank":[88],"correlation":[89],"coefficient":[90],"0.60":[92],"with":[93],"ex":[94],"vivo":[95],"mean":[96],"calculated":[97],"RNA":[98],"expression.":[99],"Furthermore,":[100],"our":[101,121],"framework":[102],"applied":[104],"identify":[106],"over":[107],"two":[108],"hundred":[109],"unprecedented":[110],"biomarkers":[111],"critical":[112],"accurate":[115],"assessment":[116],"validating":[120],"proposed":[122],"pipeline":[124],"as":[125],"holistically":[129],"objectively":[131],"analyze":[132],"histopathological":[133]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}