{"id":"https://openalex.org/W4207016181","doi":"https://doi.org/10.1109/ssci50451.2021.9659856","title":"Using Stain Decomposition for Nucleus Segmentation on Multisource H&E Slide Images","display_name":"Using Stain Decomposition for Nucleus Segmentation on Multisource H&E Slide Images","publication_year":2021,"publication_date":"2021-12-05","ids":{"openalex":"https://openalex.org/W4207016181","doi":"https://doi.org/10.1109/ssci50451.2021.9659856"},"language":"en","primary_location":{"id":"doi:10.1109/ssci50451.2021.9659856","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci50451.2021.9659856","pdf_url":null,"source":{"id":"https://openalex.org/S4363604921","display_name":"2021 IEEE Symposium Series on Computational Intelligence (SSCI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Symposium Series on Computational Intelligence (SSCI)","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/A5004011206","display_name":"Hung-Chun Hsu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210158999","display_name":"National Cheng Kung University Hospital","ror":"https://ror.org/04zx3rq17","country_code":"TW","type":"healthcare","lineage":["https://openalex.org/I4210158999"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Hung-Chun Hsu","raw_affiliation_strings":["National Cheng Kung University,Department of Pathology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University"],"affiliations":[{"raw_affiliation_string":"National Cheng Kung University,Department of Pathology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University","institution_ids":["https://openalex.org/I4210158999"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011247972","display_name":"Hung\u2010Wen Tsai","orcid":"https://orcid.org/0000-0001-9223-2535"},"institutions":[{"id":"https://openalex.org/I4210158999","display_name":"National Cheng Kung University Hospital","ror":"https://ror.org/04zx3rq17","country_code":"TW","type":"healthcare","lineage":["https://openalex.org/I4210158999"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hung-Wen Tsai","raw_affiliation_strings":["National Cheng Kung University,Department of Pathology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University"],"affiliations":[{"raw_affiliation_string":"National Cheng Kung University,Department of Pathology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University","institution_ids":["https://openalex.org/I4210158999"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030554706","display_name":"Maria Gabrani","orcid":"https://orcid.org/0000-0001-5044-8012"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Maria Gabrani","raw_affiliation_strings":["IBM"],"affiliations":[{"raw_affiliation_string":"IBM","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048480773","display_name":"Pau\u2010Choo Chung","orcid":"https://orcid.org/0000-0002-8660-570X"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Pau-Choo Chung","raw_affiliation_strings":["National Cheng Kung University"],"affiliations":[{"raw_affiliation_string":"National Cheng Kung University","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033209559","display_name":"Antonio Foncubierta\u2013Rodr\u00edguez","orcid":"https://orcid.org/0000-0003-0118-7252"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Antonio Foncubierta Rodriguez","raw_affiliation_strings":["National Cheng Kung University"],"affiliations":[{"raw_affiliation_string":"National Cheng Kung University","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101895159","display_name":"Yuting Wu","orcid":"https://orcid.org/0009-0007-1510-6464"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu-Ting Wu","raw_affiliation_strings":["National Cheng Kung University"],"affiliations":[{"raw_affiliation_string":"National Cheng Kung University","institution_ids":["https://openalex.org/I91807558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5004011206"],"corresponding_institution_ids":["https://openalex.org/I4210158999"],"apc_list":null,"apc_paid":null,"fwci":0.377,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.61871378,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"01","last_page":"07"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9998999834060669,"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":0.9998999834060669,"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/T12874","display_name":"Digital Imaging for Blood Diseases","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"}},{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9945999979972839,"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/stain","display_name":"Stain","score":0.8276011943817139},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7578215003013611},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7325023412704468},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6895738840103149},{"id":"https://openalex.org/keywords/digital-pathology","display_name":"Digital pathology","score":0.661913275718689},{"id":"https://openalex.org/keywords/h-e-stain","display_name":"H&E stain","score":0.5592357516288757},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5238004922866821},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4878828525543213},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43943488597869873},{"id":"https://openalex.org/keywords/protocol","display_name":"Protocol (science)","score":0.4306565821170807},{"id":"https://openalex.org/keywords/digital-image-analysis","display_name":"Digital image analysis","score":0.42090246081352234},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4202573001384735},{"id":"https://openalex.org/keywords/nucleus","display_name":"Nucleus","score":0.41316843032836914},{"id":"https://openalex.org/keywords/staining","display_name":"Staining","score":0.41193076968193054},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.20765119791030884},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.09658321738243103},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.08877304196357727},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.08261170983314514}],"concepts":[{"id":"https://openalex.org/C2781294515","wikidata":"https://www.wikidata.org/wiki/Q2733470","display_name":"Stain","level":3,"score":0.8276011943817139},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7578215003013611},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7325023412704468},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6895738840103149},{"id":"https://openalex.org/C2777522853","wikidata":"https://www.wikidata.org/wiki/Q5276128","display_name":"Digital pathology","level":2,"score":0.661913275718689},{"id":"https://openalex.org/C125473707","wikidata":"https://www.wikidata.org/wiki/Q9914","display_name":"H&E stain","level":3,"score":0.5592357516288757},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5238004922866821},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4878828525543213},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43943488597869873},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.4306565821170807},{"id":"https://openalex.org/C2909954168","wikidata":"https://www.wikidata.org/wiki/Q860755","display_name":"Digital image analysis","level":2,"score":0.42090246081352234},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4202573001384735},{"id":"https://openalex.org/C2780723820","wikidata":"https://www.wikidata.org/wiki/Q1934178","display_name":"Nucleus","level":2,"score":0.41316843032836914},{"id":"https://openalex.org/C74864618","wikidata":"https://www.wikidata.org/wiki/Q2332446","display_name":"Staining","level":2,"score":0.41193076968193054},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.20765119791030884},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.09658321738243103},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08877304196357727},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.08261170983314514},{"id":"https://openalex.org/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssci50451.2021.9659856","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci50451.2021.9659856","pdf_url":null,"source":{"id":"https://openalex.org/S4363604921","display_name":"2021 IEEE Symposium Series on Computational Intelligence (SSCI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5699999928474426,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2110579438","https://openalex.org/W2132162500","https://openalex.org/W2343160907","https://openalex.org/W2592905743","https://openalex.org/W2904212296","https://openalex.org/W2960960151","https://openalex.org/W2981994674","https://openalex.org/W3001438984","https://openalex.org/W4388311528","https://openalex.org/W6756889236"],"related_works":["https://openalex.org/W4384826841","https://openalex.org/W4310665281","https://openalex.org/W4390098721","https://openalex.org/W4311305828","https://openalex.org/W2063882352","https://openalex.org/W62528080","https://openalex.org/W2043744435","https://openalex.org/W2193165651","https://openalex.org/W2015326638","https://openalex.org/W2138378837"],"abstract_inverted_index":{"The":[0],"deep":[1],"learning":[2],"technique":[3],"is":[4,54],"widely":[5,78],"used":[6,56,92],"for":[7,46,134],"whole":[8],"slide":[9],"image":[10],"(WSI)":[11],"analysis":[12],"due":[13],"to":[14,39,61,93,105],"its":[15],"speed":[16],"and":[17,41,49,65,83,87,124,138,154],"relatively":[18],"objective":[19],"results.":[20],"Nucleus":[21],"instance":[22],"segmentation,":[23],"in":[24,28],"which":[25],"the":[26,29,43,63,71,75,81,89,95,99,106,128,132,142,146],"nuclei":[27,76],"WSI":[30],"are":[31],"individually":[32],"identified,":[33],"can":[34,112,140],"provide":[35,113],"many":[36],"useful":[37],"parameters":[38],"assist":[40],"accelerate":[42],"diagnosis":[44],"process":[45],"pathologists.":[47],"Hematoxylin":[48],"eosin":[50],"stain":[51],"(H&E":[52],"stain)":[53],"commonly":[55],"on":[57,80],"pathology":[58],"tissue":[59],"slides":[60],"observe":[62],"behavior":[64],"structure":[66],"information":[67],"of":[68,74,108,120],"cells.":[69],"However,":[70],"color-oriented":[72,136],"features":[73,137],"vary":[77],"depending":[79],"dye":[82],"staining":[84,121],"protocol":[85],"employed":[86,123],"also":[88],"scanning":[90,125],"system":[91],"obtain":[94],"digital":[96],"WSIs.":[97],"Accordingly,":[98],"proposed":[100,129],"lightweight":[101],"network":[102,111],"module":[103,130],"attached":[104],"front":[107],"an":[109],"arbitrary":[110],"a":[114],"more":[115],"robust":[116],"segmentation":[117],"performance":[118,133],"irrespective":[119],"protocols":[122],"circumstances.":[126],"Notably,":[127],"improves":[131],"unseen":[135],"thus":[139],"benefit":[141],"realworld":[143],"applications,":[144],"where":[145],"WSIs":[147],"may":[148],"be":[149],"collected":[150],"from":[151],"multiple":[152],"hospitals":[153],"laboratories.":[155]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}