{"id":"https://openalex.org/W4385477965","doi":"https://doi.org/10.1109/icasspw59220.2023.10193162","title":"Color Deconvolution Applied to Domain Adaptation in HER2 Histopathological Images","display_name":"Color Deconvolution Applied to Domain Adaptation in HER2 Histopathological Images","publication_year":2023,"publication_date":"2023-06-04","ids":{"openalex":"https://openalex.org/W4385477965","doi":"https://doi.org/10.1109/icasspw59220.2023.10193162"},"language":"en","primary_location":{"id":"doi:10.1109/icasspw59220.2023.10193162","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icasspw59220.2023.10193162","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://upcommons.upc.edu/bitstreams/39d99bc9-80d0-41af-96c0-4b81f0362a15/download","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091952732","display_name":"David Anglada-Rotger","orcid":null},"institutions":[{"id":"https://openalex.org/I9617848","display_name":"Universitat Polit\u00e8cnica de Catalunya","ror":"https://ror.org/03mb6wj31","country_code":"ES","type":"education","lineage":["https://openalex.org/I9617848"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"David Anglada-Rotger","raw_affiliation_strings":["Universitat Politècnica de Catalunya,Image Processing Group,Barcelona,Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitat Politècnica de Catalunya,Image Processing Group,Barcelona,Spain","institution_ids":["https://openalex.org/I9617848"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056889165","display_name":"Ferran Marqu\u00e9s","orcid":"https://orcid.org/0000-0001-8311-1168"},"institutions":[{"id":"https://openalex.org/I9617848","display_name":"Universitat Polit\u00e8cnica de Catalunya","ror":"https://ror.org/03mb6wj31","country_code":"ES","type":"education","lineage":["https://openalex.org/I9617848"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Ferran Marques","raw_affiliation_strings":["Universitat Politècnica de Catalunya,Image Processing Group,Barcelona,Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitat Politècnica de Catalunya,Image Processing Group,Barcelona,Spain","institution_ids":["https://openalex.org/I9617848"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016194141","display_name":"Montse Pard\u00e0s","orcid":"https://orcid.org/0000-0002-5861-6356"},"institutions":[{"id":"https://openalex.org/I9617848","display_name":"Universitat Polit\u00e8cnica de Catalunya","ror":"https://ror.org/03mb6wj31","country_code":"ES","type":"education","lineage":["https://openalex.org/I9617848"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Montse Pardas","raw_affiliation_strings":["Universitat Politècnica de Catalunya,Image Processing Group,Barcelona,Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitat Politècnica de Catalunya,Image Processing Group,Barcelona,Spain","institution_ids":["https://openalex.org/I9617848"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I9617848"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9994999766349792,"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":0.9994999766349792,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9782999753952026,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9781000018119812,"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/deconvolution","display_name":"Deconvolution","score":0.7950105667114258},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6963903903961182},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5780355930328369},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5732011198997498},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5222119688987732},{"id":"https://openalex.org/keywords/blind-deconvolution","display_name":"Blind deconvolution","score":0.4981505870819092},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47251400351524353},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4433019757270813},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.21852374076843262},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1386725902557373},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.10346847772598267},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08474820852279663}],"concepts":[{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.7950105667114258},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6963903903961182},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5780355930328369},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5732011198997498},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5222119688987732},{"id":"https://openalex.org/C30044814","wikidata":"https://www.wikidata.org/wiki/Q11334452","display_name":"Blind deconvolution","level":3,"score":0.4981505870819092},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47251400351524353},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4433019757270813},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.21852374076843262},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1386725902557373},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.10346847772598267},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08474820852279663},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icasspw59220.2023.10193162","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icasspw59220.2023.10193162","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)","raw_type":"proceedings-article"},{"id":"pmh:oai:upcommons.upc.edu:2117/416587","is_oa":true,"landing_page_url":"https://hdl.handle.net/2117/416587","pdf_url":"https://upcommons.upc.edu/bitstreams/39d99bc9-80d0-41af-96c0-4b81f0362a15/download","source":{"id":"https://openalex.org/S4377196262","display_name":"UPCommons institutional repository (Universitat Polit\u00e8cnica de Catalunya)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I9617848","host_organization_name":"Universitat Polit\u00e8cnica de Catalunya","host_organization_lineage":["https://openalex.org/I9617848"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference lecture"}],"best_oa_location":{"id":"pmh:oai:upcommons.upc.edu:2117/416587","is_oa":true,"landing_page_url":"https://hdl.handle.net/2117/416587","pdf_url":"https://upcommons.upc.edu/bitstreams/39d99bc9-80d0-41af-96c0-4b81f0362a15/download","source":{"id":"https://openalex.org/S4377196262","display_name":"UPCommons institutional repository (Universitat Polit\u00e8cnica de Catalunya)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I9617848","host_organization_name":"Universitat Polit\u00e8cnica de Catalunya","host_organization_lineage":["https://openalex.org/I9617848"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference lecture"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385477965.pdf","grobid_xml":"https://content.openalex.org/works/W4385477965.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W1597336200","https://openalex.org/W2807523709","https://openalex.org/W2945334889","https://openalex.org/W2952481429","https://openalex.org/W2962793691","https://openalex.org/W2963073614","https://openalex.org/W2980170728","https://openalex.org/W2982444549","https://openalex.org/W3091476980","https://openalex.org/W3204802851","https://openalex.org/W3209390330","https://openalex.org/W4298289240","https://openalex.org/W4301206121","https://openalex.org/W6635816984","https://openalex.org/W6637568146","https://openalex.org/W6765779288","https://openalex.org/W6784551133"],"related_works":["https://openalex.org/W2034520358","https://openalex.org/W2028099218","https://openalex.org/W2059639161","https://openalex.org/W2586325539","https://openalex.org/W2058895457","https://openalex.org/W1538056422","https://openalex.org/W2029084792","https://openalex.org/W2023738877","https://openalex.org/W2147401053","https://openalex.org/W2589098082"],"abstract_inverted_index":{"Breast":[0],"cancer":[1,56],"early":[2],"detection":[3],"is":[4,106,135],"crucial":[5,107],"for":[6,44,108],"improving":[7],"patient":[8],"outcomes.":[9],"The":[10],"Institut":[11],"Catala":[12],"de":[13],"la":[14],"Salut":[15],"(ICS)":[16],"has":[17],"launched\u2018":[18],"the":[19,32,46,66,71,82,95,99,102,109,119,127,131],"DigiPatICS":[20],"project":[21],"to":[22,29,75,80],"develop":[23],"and":[24,134],"implement":[25],"artificial":[26],"intelligence":[27],"algorithms":[28],"assist":[30],"with":[31,70],"diagnosis":[33],"of":[34,54,98],"cancer.":[35],"In":[36],"this":[37],"paper,":[38],"we":[39],"propose":[40],"a":[41,77],"new":[42],"approach":[43,79,91],"facing":[45],"color":[47,83],"normalization":[48],"problem":[49],"in":[50,101,125,130,140],"HER2-stained":[51],"histopathological":[52],"images":[53,133],"breast":[55],"tissue,":[57],"posed":[58],"as":[59,136,138],"an":[60],"style":[61,122],"transfer":[62,123],"problem.":[63],"We":[64],"combine":[65],"Color":[67],"Deconvolution":[68],"technique":[69],"Pix2Pix":[72],"GAN":[73],"network":[74],"present":[76],"novel":[78],"correct":[81],"variations":[84],"between":[85],"different":[86],"HER2":[87,96,110],"stain":[88],"brands.":[89],"Our":[90],"focuses":[92],"on":[93],"maintaining":[94,126],"score":[97],"cells":[100],"transformed":[103,132],"images,":[104],"which":[105],"analysis.":[111],"Results":[112],"demonstrate":[113],"that":[114],"our":[115],"final":[116],"model":[117],"outperforms":[118],"state-of-the-art":[120],"image":[121],"methods":[124],"cell":[128],"classes":[129],"effective":[137],"them":[139],"generating":[141],"realistic":[142],"images.":[143]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}