{"id":"https://openalex.org/W4392903686","doi":"https://doi.org/10.1109/icassp48485.2024.10446668","title":"Dual Contrastive Learning Guided Pathological Image Re-Staining","display_name":"Dual Contrastive Learning Guided Pathological Image Re-Staining","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392903686","doi":"https://doi.org/10.1109/icassp48485.2024.10446668"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10446668","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp48485.2024.10446668","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101319180","display_name":"Yuexiao Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuexiao Liang","raw_affiliation_strings":["Fudan University,School of Computer Science,Shanghai,China","School of Computer Science, Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,School of Computer Science,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073175832","display_name":"Zhineng Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhineng Chen","raw_affiliation_strings":["Fudan University,School of Computer Science,Shanghai,China","School of Computer Science, Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,School of Computer Science,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100363084","display_name":"Xin Chen","orcid":"https://orcid.org/0000-0002-5406-4136"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Chen","raw_affiliation_strings":["Beijing Jiaotong University,School of Computer and Information Technology,Beijing,China","School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University,School of Computer and Information Technology,Beijing,China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085282915","display_name":"Caiyan Jia","orcid":"https://orcid.org/0000-0003-0650-9564"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Caiyan Jia","raw_affiliation_strings":["Beijing Jiaotong University,School of Computer and Information Technology,Beijing,China","School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University,School of Computer and Information Technology,Beijing,China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012235327","display_name":"Xiongjun Ye","orcid":"https://orcid.org/0000-0001-9012-2869"},"institutions":[{"id":"https://openalex.org/I200296433","display_name":"Chinese Academy of Medical Sciences & Peking Union Medical College","ror":"https://ror.org/02drdmm93","country_code":"CN","type":"education","lineage":["https://openalex.org/I200296433"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiongjun Ye","raw_affiliation_strings":["Cancer Hospital, Chinese Academy of Medical Sciences,Department of Urology,Beijing,China","Department of Urology, Cancer Hospital, Chinese Academy of Medical Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cancer Hospital, Chinese Academy of Medical Sciences,Department of Urology,Beijing,China","institution_ids":["https://openalex.org/I200296433"]},{"raw_affiliation_string":"Department of Urology, Cancer Hospital, Chinese Academy of Medical Sciences, Beijing, China","institution_ids":["https://openalex.org/I200296433"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010870600","display_name":"Xieping Gao","orcid":"https://orcid.org/0000-0002-7764-3616"},"institutions":[{"id":"https://openalex.org/I173759888","display_name":"Hunan Normal University","ror":"https://ror.org/053w1zy07","country_code":"CN","type":"education","lineage":["https://openalex.org/I173759888"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xieping Gao","raw_affiliation_strings":["Hunan Normal University,College of Information Science and Engineering,Hunan,China","College of Information Science and Engineering, Hunan Normal University, Hunan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan Normal University,College of Information Science and Engineering,Hunan,China","institution_ids":["https://openalex.org/I173759888"]},{"raw_affiliation_string":"College of Information Science and Engineering, Hunan Normal University, Hunan, China","institution_ids":["https://openalex.org/I173759888"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1881","last_page":"1885"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.995199978351593,"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"}},"topics":[{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.995199978351593,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9950000047683716,"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/T10862","display_name":"AI in cancer detection","score":0.9941999912261963,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7022609114646912},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.662956714630127},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6079080104827881},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5824998617172241},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5459590554237366},{"id":"https://openalex.org/keywords/staining","display_name":"Staining","score":0.5373797416687012},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44133108854293823},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40368738770484924},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3481407165527344},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.1996927261352539}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7022609114646912},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.662956714630127},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6079080104827881},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5824998617172241},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5459590554237366},{"id":"https://openalex.org/C74864618","wikidata":"https://www.wikidata.org/wiki/Q2332446","display_name":"Staining","level":2,"score":0.5373797416687012},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44133108854293823},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40368738770484924},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3481407165527344},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.1996927261352539},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp48485.2024.10446668","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp48485.2024.10446668","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G549064999","display_name":null,"funder_award_id":"62372170","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6146631126","display_name":null,"funder_award_id":"62172103","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8113341503","display_name":null,"funder_award_id":"62076007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2603777577","https://openalex.org/W2765811365","https://openalex.org/W2842511635","https://openalex.org/W2943370629","https://openalex.org/W2962793481","https://openalex.org/W2962960082","https://openalex.org/W2963073614","https://openalex.org/W2963800363","https://openalex.org/W2965775801","https://openalex.org/W2978023058","https://openalex.org/W3008693315","https://openalex.org/W3035037798","https://openalex.org/W3098491829","https://openalex.org/W3108316907","https://openalex.org/W3141929194","https://openalex.org/W3191728126","https://openalex.org/W3209157908","https://openalex.org/W4283316793","https://openalex.org/W4295939746","https://openalex.org/W4297808394","https://openalex.org/W4323037718","https://openalex.org/W4323042464","https://openalex.org/W4386071785","https://openalex.org/W6766150548"],"related_works":["https://openalex.org/W2383463315","https://openalex.org/W2361625425","https://openalex.org/W2373675175","https://openalex.org/W2351810720","https://openalex.org/W2347460050","https://openalex.org/W2912451268","https://openalex.org/W2364311093","https://openalex.org/W4206758420","https://openalex.org/W2384760261","https://openalex.org/W2352553236"],"abstract_inverted_index":{"Pathological":[0],"virtual":[1],"re-staining":[2,54],"is":[3],"a":[4,49,95],"valuable":[5],"research":[6],"topic":[7],"in":[8,138],"AI-aided":[9],"diagnosis,":[10],"as":[11,89],"it":[12],"reduces":[13],"the":[14,28,39,64,82,103,110,139],"need":[15],"for":[16],"costly":[17],"and":[18,35,66,112,128],"time-consuming":[19],"physical":[20],"staining.":[21],"However,":[22],"existing":[23],"methods":[24],"still":[25],"suffer":[26],"from":[27,77],"insufficient":[29],"ability":[30],"to":[31,85,106,125],"preserve":[32],"tissue":[33,104],"microstructure":[34,105],"cellular":[36,90],"details,":[37],"making":[38],"generated":[40],"images":[41],"less":[42],"convincing.":[43],"In":[44],"this":[45],"paper,":[46],"we":[47],"propose":[48],"CycleGAN-based":[50],"dual":[51,60],"contrastive":[52,61],"learning":[53,62],"method":[55],"called":[56],"DCLRStain.":[57],"DCLRStain":[58,93,119,134],"establishes":[59],"between":[63,109],"source":[65,111],"re-stained":[67,113],"image":[68,75],"domains,":[69],"conducting":[70],"negative":[71],"sampling":[72],"within":[73],"each":[74],"pair":[76],"both":[78],"domains.":[79],"It":[80],"guides":[81],"model\u2019s":[83],"attention":[84],"finer":[86],"content":[87],"such":[88],"details.":[91],"Meanwhile,":[92],"introduces":[94],"structural":[96],"similarity-based":[97],"loss":[98],"term":[99],"that":[100,118],"further":[101],"forces":[102],"be":[107],"consistent":[108],"images.":[114],"Experimental":[115],"results":[116],"demonstrate":[117],"yields":[120],"competitive":[121],"quantitative":[122],"scores":[123],"compared":[124],"state-of-the-art":[126],"models":[127],"maintains":[129],"superior":[130],"qualitative":[131],"performance.":[132],"Moreover,":[133],"achieves":[135],"higher":[136],"accuracy":[137],"downstream":[140],"classification":[141],"task.":[142]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
