{"id":"https://openalex.org/W4362693543","doi":"https://doi.org/10.1117/12.2653858","title":"An ensemble approach for histopathological classification of vulvar cancer","display_name":"An ensemble approach for histopathological classification of vulvar cancer","publication_year":2023,"publication_date":"2023-04-07","ids":{"openalex":"https://openalex.org/W4362693543","doi":"https://doi.org/10.1117/12.2653858"},"language":"en","primary_location":{"id":"doi:10.1117/12.2653858","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1117/12.2653858","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2023: Digital and Computational 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/A5085752580","display_name":"Raghava Vinaykanth Mushunuri","orcid":"https://orcid.org/0000-0002-6856-4617"},"institutions":[{"id":"https://openalex.org/I95793202","display_name":"Otto-von-Guericke-Universit\u00e4t Magdeburg","ror":"https://ror.org/00ggpsq73","country_code":"DE","type":"education","lineage":["https://openalex.org/I95793202"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Raghava Vinaykanth Mushunuri","raw_affiliation_strings":["Fraunhofer Ctr. for Microelectronic and Optical Systems for Biomedicine (Germany)","Otto von Guericke Univ. Magdeburg (Germany)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer Ctr. for Microelectronic and Optical Systems for Biomedicine (Germany)","institution_ids":[]},{"raw_affiliation_string":"Otto von Guericke Univ. Magdeburg (Germany)","institution_ids":["https://openalex.org/I95793202"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009072004","display_name":"Matthias Choschzick","orcid":"https://orcid.org/0000-0001-8565-0798"},"institutions":[{"id":"https://openalex.org/I4210100468","display_name":"University Hospital of Zurich","ror":"https://ror.org/01462r250","country_code":"CH","type":"funder","lineage":["https://openalex.org/I4210100468"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Matthias Choschzick","raw_affiliation_strings":["Univ. Hospital Zurich (Switzerland)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. Hospital Zurich (Switzerland)","institution_ids":["https://openalex.org/I4210100468"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003647594","display_name":"Ulf\u2010Dietrich Braumann","orcid":"https://orcid.org/0000-0002-0987-4498"},"institutions":[{"id":"https://openalex.org/I4210145647","display_name":"Fraunhofer Institute for Cell Therapy and Immunology","ror":"https://ror.org/04x45f476","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210145647","https://openalex.org/I4923324"]},{"id":"https://openalex.org/I926574661","display_name":"Leipzig University","ror":"https://ror.org/03s7gtk40","country_code":"DE","type":"education","lineage":["https://openalex.org/I926574661"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ulf-Dietrich Braumann","raw_affiliation_strings":["Fraunhofer Ctr. for Microelectronic and Optical Systems for Biomedicine (Germany)","Fraunhofer Institute for Cell Therapy and Immunology (Germany)","Univ. Leipzig (Germany)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer Ctr. for Microelectronic and Optical Systems for Biomedicine (Germany)","institution_ids":[]},{"raw_affiliation_string":"Fraunhofer Institute for Cell Therapy and Immunology (Germany)","institution_ids":["https://openalex.org/I4210145647"]},{"raw_affiliation_string":"Univ. Leipzig (Germany)","institution_ids":["https://openalex.org/I926574661"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070715206","display_name":"J\u00fcrgen Hess","orcid":null},"institutions":[{"id":"https://openalex.org/I4210115660","display_name":"Fraunhofer Institute for Applied Optics and Precision Engineering","ror":"https://ror.org/02afjh072","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210115660","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"J\u00fcrgen Hess","raw_affiliation_strings":["Fraunhofer Ctr. for Microelectronic and Optical Systems for Biomedicine (Germany)","Fraunhofer Institute for Applied Optics and Precision Engineering (Germany)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer Ctr. for Microelectronic and Optical Systems for Biomedicine (Germany)","institution_ids":[]},{"raw_affiliation_string":"Fraunhofer Institute for Applied Optics and Precision Engineering (Germany)","institution_ids":["https://openalex.org/I4210115660"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03046931,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"40","last_page":"40"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9726999998092651,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9503999948501587,"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/computer-science","display_name":"Computer science","score":0.7213793396949768},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6751482486724854},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5619518160820007},{"id":"https://openalex.org/keywords/vulvar-cancer","display_name":"Vulvar cancer","score":0.5420525670051575},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.502277135848999},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.49750545620918274},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4551612436771393},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4549122154712677},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33208489418029785},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.23268184065818787},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.09317457675933838}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7213793396949768},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6751482486724854},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5619518160820007},{"id":"https://openalex.org/C2780370617","wikidata":"https://www.wikidata.org/wiki/Q1908194","display_name":"Vulvar cancer","level":3,"score":0.5420525670051575},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.502277135848999},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.49750545620918274},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4551612436771393},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4549122154712677},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33208489418029785},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.23268184065818787},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.09317457675933838},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1117/12.2653858","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1117/12.2653858","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2023: Digital and Computational Pathology","raw_type":"proceedings-article"},{"id":"pmh:oai:publica.fraunhofer.de:publica/442612","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/442612","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"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":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3029198973","https://openalex.org/W3124943098","https://openalex.org/W4308112567","https://openalex.org/W3162132941","https://openalex.org/W3128189270"],"abstract_inverted_index":{"Light":[0],"microscopy":[1],"of":[2,30,44,56,67,85,132],"tissue":[3,27,45],"slides":[4],"is":[5,126],"an":[6],"important":[7],"tool":[8],"for":[9,105,118],"analyzing":[10],"human":[11],"diseases":[12],"including":[13],"cancer.":[14,32],"In":[15,107],"this":[16],"work,":[17],"we":[18,110],"focus":[19],"on":[20],"classifying":[21],"patches":[22,43,68],"from":[23,89],"a":[24,35,57,71],"immunohistochemically":[25],"stained":[26],"microarray":[28],"(TMA)":[29],"vulvar":[31],"We":[33,122],"propose":[34],"novel":[36],"ensemble-based":[37],"deep":[38],"learning":[39,84],"technique":[40],"to":[41,64],"classify":[42],"as":[46],"cancerous,":[47],"stroma,":[48],"both,":[49],"or":[50],"none.":[51],"Our":[52,100],"ensemble":[53],"model":[54],"consists":[55],"pre-trained":[58],"data-efficient":[59],"image":[60],"transformer":[61,72],"(DeiT)":[62],"module":[63],"extract":[65],"features":[66,88],"followed":[69],"by":[70],"block":[73],"and":[74],"graph":[75,93],"convolutional":[76,94],"networks":[77],"(GCN).":[78],"Transformer":[79],"blocks":[80],"aid":[81],"the":[82,86,92,108,119],"sequential":[83],"extracted":[87],"DeiT":[90],"while":[91],"network":[95],"(GCN)":[96],"extracts":[97],"neighborhood":[98],"information.":[99],"approach":[101,114],"combines":[102],"both":[103],"methods":[104],"classification.":[106],"evaluation,":[109],"show":[111,124],"that":[112,125],"our":[113],"outperforms":[115],"state-of-the-art":[116],"architectures":[117],"addressed":[120],"application.":[121],"also":[123],"applicable":[127],"when":[128],"only":[129],"small":[130],"amounts":[131],"labelled":[133],"data":[134],"are":[135],"available.":[136]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}