{"id":"https://openalex.org/W7137901014","doi":"https://doi.org/10.1609/aaai.v40i10.37807","title":"Graph-Semantic Guided Learning for Virtual Immunohistochemistry Staining on Consecutive Histology Sections","display_name":"Graph-Semantic Guided Learning for Virtual Immunohistochemistry Staining on Consecutive Histology Sections","publication_year":2026,"publication_date":"2026-03-14","ids":{"openalex":"https://openalex.org/W7137901014","doi":"https://doi.org/10.1609/aaai.v40i10.37807"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v40i10.37807","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i10.37807","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1609/aaai.v40i10.37807","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5125748331","display_name":"Fanhao Qiu","orcid":null},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fanhao Qiu","raw_affiliation_strings":["School of Computer Science and Technology, Hainan University, Haikou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Hainan University, Haikou, China","institution_ids":["https://openalex.org/I20942203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129654229","display_name":"Yangyang Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangyang Zhang","raw_affiliation_strings":["School of Information and Communication Engineering, Hainan University, Haikou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Hainan University, Haikou, China","institution_ids":["https://openalex.org/I20942203"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5129681667","display_name":"Zhengxia Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengxia Wang","raw_affiliation_strings":["School of Computer Science and Technology, Hainan University, Haikou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Hainan University, Haikou, China","institution_ids":["https://openalex.org/I20942203"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"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":0.12013295,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"10","first_page":"8556","last_page":"8564"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.7656000256538391,"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":0.7656000256538391,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.12449999898672104,"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"}},{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.04500000178813934,"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/graph","display_name":"Graph","score":0.5637000203132629},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4830999970436096},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4219000041484833},{"id":"https://openalex.org/keywords/immunohistochemistry","display_name":"Immunohistochemistry","score":0.4124999940395355},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.3806000053882599},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.33899998664855957}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7398999929428101},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6484000086784363},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5637000203132629},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4830999970436096},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4219000041484833},{"id":"https://openalex.org/C204232928","wikidata":"https://www.wikidata.org/wiki/Q899285","display_name":"Immunohistochemistry","level":2,"score":0.4124999940395355},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3953000009059906},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.3806000053882599},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.33899998664855957},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3321000039577484},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.3073999881744385},{"id":"https://openalex.org/C74864618","wikidata":"https://www.wikidata.org/wiki/Q2332446","display_name":"Staining","level":2,"score":0.2816999852657318},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.27639999985694885},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.26489999890327454},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.25360000133514404}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1609/aaai.v40i10.37807","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i10.37807","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:ojs.aaai.org:article/37807","is_oa":false,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/37807","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.1609/aaai.v40i10.37807","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i10.37807","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6852215528488159}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Virtual":[0],"Immunohistochemistry":[1],"(IHC)":[2],"staining":[3,23,34],"technology":[4],"employs":[5],"generative":[6],"models":[7],"to":[8,57,84,96,111,129,170,174],"directly":[9],"synthesize":[10],"IHC":[11,126,159],"images":[12,160],"from":[13,81,107,123],"Hematoxylin":[14],"and":[15,28,49,161,203],"Eosin":[16],"(H&amp;E)":[17],"images,":[18,181],"reducing":[19,29],"reliance":[20],"on":[21,37,188],"chemical":[22],"while":[24,149],"improving":[25,183],"diagnostic":[26],"efficiency":[27],"costs.":[30],"However,":[31],"existing":[32],"virtual":[33,73,215],"methods":[35,198],"relying":[36],"adjacent":[38,125],"sections":[39],"face":[40],"two":[41,189],"critical":[42],"challenges:":[43],"insufficient":[44],"mining":[45],"of":[46,53,179],"pathological":[47,54,100,204],"semantics":[48,55],"the":[50,79,98,108,132,172,176],"spatial":[51,92],"misalignment":[52,93],"due":[56],"physical":[58],"discrepancies":[59],"between":[60,157],"sections.":[61,127],"To":[62],"address":[63],"these,":[64],"we":[65,102,165],"propose":[66,166],"GSGStain,":[67],"a":[68,104,135,150,167,209],"Graph-Semantic":[69],"Guided":[70],"Learning":[71],"for":[72,91,131,212],"Staining.":[74],"Our":[75],"method":[76],"innovatively":[77],"transforms":[78],"problem":[80],"pixel":[82],"space":[83],"graph":[85,106,146],"space,":[86],"enabling":[87],"semantic":[88,120,133],"noise":[89],"correction":[90],"features.":[94],"Specifically,":[95],"capture":[97],"rich":[99],"semantics,":[101],"construct":[103],"cell":[105],"H&amp;E":[109],"image":[110,201],"encode":[112],"tissue":[113],"architecture,":[114],"annotating":[115],"nodes":[116],"with":[117],"noisy":[118],"biomarker":[119],"features":[121,144],"derived":[122],"misaligned":[124],"Furthermore,":[128],"correct":[130],"misalignment,":[134],"Graph":[136,151],"Semantic":[137,152],"Rectification":[138],"Module":[139],"(GSRM)":[140],"then":[141],"refines":[142],"these":[143],"using":[145],"contextual":[147],"reasoning,":[148],"Consistency":[153],"Loss":[154],"ensures":[155],"alignment":[156],"generated":[158],"rectified":[162],"semantics.":[163],"Additionally,":[164],"dual-branch":[168],"discriminator":[169],"compel":[171],"generator":[173],"match":[175],"empirical":[177],"distribution":[178],"real":[180],"significantly":[182,195],"generation":[184],"quality.":[185],"Extensive":[186],"experiments":[187],"public":[190],"benchmarks":[191],"demonstrate":[192],"that":[193],"GSGStain":[194],"outperforms":[196],"state-of-the-art":[197],"in":[199],"both":[200],"quality":[202],"consistency.":[205],"This":[206],"work":[207],"establishes":[208],"new":[210],"paradigm":[211],"semantically":[213],"robust":[214],"staining.":[216]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-03-18T00:00:00"}
