{"id":"https://openalex.org/W4414359936","doi":"https://doi.org/10.24963/ijcai.2025/236","title":"Advancing Stain Transfer for Multi-Biomarkers: A Human Annotation-Free Method Based on Auxiliary Task Supervision","display_name":"Advancing Stain Transfer for Multi-Biomarkers: A Human Annotation-Free Method Based on Auxiliary Task Supervision","publication_year":2025,"publication_date":"2025-09-01","ids":{"openalex":"https://openalex.org/W4414359936","doi":"https://doi.org/10.24963/ijcai.2025/236"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2025/236","is_oa":false,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/236","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","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/A5113334079","display_name":"Siyuan Xu","orcid":"https://orcid.org/0000-0002-0921-0034"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyuan Xu","raw_affiliation_strings":["East China Normal University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014797293","display_name":"Haofei Song","orcid":"https://orcid.org/0009-0006-4926-7525"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haofei Song","raw_affiliation_strings":["East China Normal University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032897593","display_name":"Yingjiao Deng","orcid":null},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingjiao Deng","raw_affiliation_strings":["East China Normal University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101598898","display_name":"Jiansheng Wang","orcid":"https://orcid.org/0000-0003-1827-7203"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiansheng Wang","raw_affiliation_strings":["East China Normal University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101846458","display_name":"Yan Wang","orcid":"https://orcid.org/0000-0002-7865-9580"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Wang","raw_affiliation_strings":["East China Normal University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090964683","display_name":"Qingli Li","orcid":"https://orcid.org/0000-0001-5063-8801"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingli Li","raw_affiliation_strings":["East China Normal University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I66867065"],"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":"2116","last_page":"2124"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.8611999750137329,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.8611999750137329,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.816100001335144,"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":0.8008000254631042,"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/task","display_name":"Task (project management)","score":0.657800018787384},{"id":"https://openalex.org/keywords/stain","display_name":"Stain","score":0.6176999807357788},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4948999881744385},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4715000092983246},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.45739999413490295},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44130000472068787},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.40709999203681946},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.3637999892234802}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8098000288009644},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6604999899864197},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.657800018787384},{"id":"https://openalex.org/C2781294515","wikidata":"https://www.wikidata.org/wiki/Q2733470","display_name":"Stain","level":3,"score":0.6176999807357788},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4948999881744385},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4715000092983246},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.45739999413490295},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44130000472068787},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43549999594688416},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.40709999203681946},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3637999892234802},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.3427000045776367},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.34150001406669617},{"id":"https://openalex.org/C2777655017","wikidata":"https://www.wikidata.org/wiki/Q1501161","display_name":"Toolbox","level":2,"score":0.33090001344680786},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.32899999618530273},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2824999988079071},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.2770000100135803},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2759000062942505},{"id":"https://openalex.org/C125473707","wikidata":"https://www.wikidata.org/wiki/Q9914","display_name":"H&E stain","level":3,"score":0.2703999876976013},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.2694999873638153},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.26919999718666077},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2558000087738037}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2025/236","is_oa":false,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/236","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Histopathological":[0],"examination":[1],"primarily":[2],"relies":[3],"on":[4,121,167],"hematoxylin":[5],"and":[6,9,56,97,124,132,172],"eosin":[7],"(H&amp;E)":[8],"immunohistochemical":[10],"(IHC)":[11],"staining.":[12,28],"Though":[13],"IHC":[14,37,112],"provides":[15],"more":[16,24],"crucial":[17],"molecular":[18],"information":[19,120],"for":[20,78],"diagnosis,":[21],"it":[22],"is":[23,182],"costly":[25],"than":[26],"H&amp;E":[27,40,103,145],"Stain":[29,75],"transfer":[30],"technology":[31],"seeks":[32],"to":[33,53,140,159],"efficiently":[34],"generate":[35],"virtual":[36],"images":[38],"from":[39],"images.":[41],"While":[42],"current":[43],"deep":[44,142],"learning-based":[45],"methods":[46],"have":[47],"made":[48],"progress,":[49],"they":[50],"still":[51],"struggle":[52],"maintain":[54],"pathological":[55,93],"structural":[57,95],"consistency":[58],"across":[59],"biomarkers":[60,171],"without":[61],"pixel-level":[62],"aligned":[63],"reference.":[64],"To":[65],"address":[66],"the":[67,122,153],"problem,":[68],"we":[69],"propose":[70],"an":[71],"Auxiliary":[72],"Task":[73],"supervision-based":[74],"Transfer":[76],"method":[77],"multi-biomarkers":[79],"(ATST-Net),":[80],"which":[81],"pioneeringly":[82],"employs":[83],"human":[84],"annotation-free":[85],"masks":[86,104],"as":[87],"ground":[88],"truth":[89],"(GT).":[90],"ATST-Net":[91,162],"ensures":[92],"consistency,":[94],"preservation":[96],"style":[98],"transfer.":[99],"It":[100],"automatically":[101],"annotates":[102],"in":[105,144],"a":[106,136],"cost-effective":[107],"manner":[108],"by":[109],"utilizing":[110],"consecutive":[111],"sections.":[113],"Multiple":[114],"auxiliary":[115],"tasks":[116],"provide":[117],"diverse":[118],"supervisory":[119],"location":[123],"intensity":[125,173],"of":[126,155],"biomarker":[127],"expression,":[128],"ensuring":[129],"model":[130],"accuracy":[131,166],"interpretability.":[133],"We":[134],"design":[135],"pretrained":[137],"model-based":[138],"generator":[139],"extract":[141],"feature":[143],"images,":[146],"improving":[147],"generalization":[148],"performance.":[149],"Extensive":[150],"experiments":[151],"demonstrate":[152],"effectiveness":[154],"ATST-Net's":[156],"components.":[157],"Compared":[158],"existing":[160],"methods,":[161],"achieves":[163],"state-of-the-art":[164],"(SOTA)":[165],"datasets":[168],"with":[169],"multiple":[170],"levels,":[174],"while":[175],"also":[176],"reflecting":[177],"high":[178],"practical":[179],"value.":[180],"Code":[181],"available":[183],"at":[184],"https://github.com/SikangSHU/ATST-Net.":[185]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
