{"id":"https://openalex.org/W7131882320","doi":"https://doi.org/10.1109/tmi.2026.3668785","title":"QuPaS: SAM-Based Semi-Supervised Histopathological Image Segmentation With Quantum Force Field Finetuning and Adversarial Estimation","display_name":"QuPaS: SAM-Based Semi-Supervised Histopathological Image Segmentation With Quantum Force Field Finetuning and Adversarial Estimation","publication_year":2026,"publication_date":"2026-02-27","ids":{"openalex":"https://openalex.org/W7131882320","doi":"https://doi.org/10.1109/tmi.2026.3668785","pmid":"https://pubmed.ncbi.nlm.nih.gov/41758849"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2026.3668785","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2026.3668785","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5126380296","display_name":"Siyang Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyang Feng","raw_affiliation_strings":["School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin, China"],"raw_orcid":"https://orcid.org/0009-0007-8559-5769","affiliations":[{"raw_affiliation_string":"School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028311940","display_name":"Xipeng Pan","orcid":"https://orcid.org/0000-0003-2581-0520"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xipeng Pan","raw_affiliation_strings":["School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin, China"],"raw_orcid":"https://orcid.org/0000-0003-2581-0520","affiliations":[{"raw_affiliation_string":"School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Weidong Zhang","orcid":"https://orcid.org/0000-0003-2495-4469"},"institutions":[{"id":"https://openalex.org/I4210163247","display_name":"Henan Institute of Science and Technology","ror":"https://ror.org/0578f1k82","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163247"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weidong Zhang","raw_affiliation_strings":["School of Information Engineering, Henan Institute of Science and Technology, Xinxiang, China"],"raw_orcid":"https://orcid.org/0000-0003-2495-4469","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Henan Institute of Science and Technology, Xinxiang, China","institution_ids":["https://openalex.org/I4210163247"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127221317","display_name":"Minghua Pan","orcid":null},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minghua Pan","raw_affiliation_strings":["School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin, China"],"raw_orcid":"https://orcid.org/0009-0004-2428-9280","affiliations":[{"raw_affiliation_string":"School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127011594","display_name":"Chu Han","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145693","display_name":"Guangdong Academy of Medical Sciences","ror":"https://ror.org/0432p8t34","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210145693"]},{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chu Han","raw_affiliation_strings":["Department of Radiology, Guangdong Provincial People&#x2019;s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-7557-9131","affiliations":[{"raw_affiliation_string":"Department of Radiology, Guangdong Provincial People&#x2019;s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China","institution_ids":["https://openalex.org/I4210145693","https://openalex.org/I58200834"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045514825","display_name":"Rushi Lan","orcid":"https://orcid.org/0000-0002-9488-8236"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rushi Lan","raw_affiliation_strings":["School of Computer Science and Information Security and the International Joint Research Laboratory of Spatio-Temporal Information and Intelligent Location Services, Guilin University of Electronic Technology, Guilin, China"],"raw_orcid":"https://orcid.org/0000-0002-9488-8236","affiliations":[{"raw_affiliation_string":"School of Computer Science and Information Security and the International Joint Research Laboratory of Spatio-Temporal Information and Intelligent Location Services, Guilin University of Electronic Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"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":0.26111291,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"45","issue":"6","first_page":"3150","last_page":"3162"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.24940000474452972,"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":0.24940000474452972,"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":0.05009999871253967,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.04659999907016754,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7038000226020813},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6754000186920166},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6189000010490417},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5360999703407288},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5163000226020813},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5156999826431274},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.46070000529289246},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44029998779296875},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.43549999594688416}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7526000142097473},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7038000226020813},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6754000186920166},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6690000295639038},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6189000010490417},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5360999703407288},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5163000226020813},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5156999826431274},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.46070000529289246},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44029998779296875},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.43549999594688416},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41819998621940613},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3944999873638153},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.38280001282691956},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.38119998574256897},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35749998688697815},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.34060001373291016},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.33309999108314514},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.29760000109672546},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.2842999994754791},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.2727000117301941},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.2678000032901764},{"id":"https://openalex.org/C194051981","wikidata":"https://www.wikidata.org/wiki/Q1337691","display_name":"Economic shortage","level":3,"score":0.2646999955177307},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.26330000162124634},{"id":"https://openalex.org/C10803110","wikidata":"https://www.wikidata.org/wiki/Q1341441","display_name":"Force field (fiction)","level":2,"score":0.2513999938964844}],"mesh":[{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006651","descriptor_name":"Histocytochemistry","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2026.3668785","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2026.3668785","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:41758849","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41758849","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on medical imaging","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1833665536","display_name":null,"funder_award_id":"82360356","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3671411918","display_name":null,"funder_award_id":"82272075","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5239180131","display_name":null,"funder_award_id":"62172120","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6457953808","display_name":null,"funder_award_id":"AB25069496","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7055622491","display_name":null,"funder_award_id":"2024GXNSFFA010014","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8193863040","display_name":null,"funder_award_id":"2024GXNSFFA010014","funder_id":"https://openalex.org/F4320313613","funder_display_name":"Natural Science Foundation of Guangxi Zhuang Autonomous Region"},{"id":"https://openalex.org/G8448026690","display_name":null,"funder_award_id":"T2541065","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8562869248","display_name":null,"funder_award_id":"AB25069496","funder_id":"https://openalex.org/F4320313613","funder_display_name":"Natural Science Foundation of Guangxi Zhuang Autonomous Region"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320313613","display_name":"Natural Science Foundation of Guangxi Zhuang Autonomous Region","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Semi-supervised":[0],"segmentation":[1,14,152],"(S<sup":[2],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[3,32,79,164],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">3</sup>)":[4],"is":[5,56,169],"one":[6],"of":[7,39,85,99,103,129,139],"the":[8,97,112,127,137,144,161],"preferred":[9],"choices":[10],"for":[11,23],"histopathological":[12,54,151],"image":[13],"tasks,":[15],"while":[16],"how":[17],"to":[18,61,110,125,171],"improve":[19],"model\u2019s":[20],"learning":[21],"capability":[22],"unlabeled":[24],"data":[25],"remains":[26],"a":[27,45,75],"key":[28],"challenge":[29],"in":[30,64],"S<sup":[31,78,163],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">3</sup>.":[33],"The":[34,180],"remarkable":[35],"feature":[36],"extraction":[37],"abilities":[38],"Segment":[40],"Anything":[41],"Model":[42],"(SAM)":[43],"offers":[44],"potential":[46],"opportunity.":[47],"However,":[48],"SAM\u2019s":[49,100],"performance":[50,175],"on":[51,143,176],"contextual":[52],"complex":[53],"images":[55],"not":[57],"so":[58],"desirable":[59],"due":[60],"its":[62],"limitations":[63],"finely":[65],"capture":[66],"structural":[67,113],"relationships.":[68],"To":[69],"address":[70],"this":[71],"issue,":[72],"we":[73],"propose":[74],"novel":[76],"SAM-based":[77],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">3</sup>":[80,165],"framework":[81],"QuPaS,":[82],"which":[83],"consists":[84],"Quantum":[86],"Force":[87],"Field":[88],"(QFF)":[89],"Finetuning":[90],"and":[91],"Adversarial":[92],"Estimation":[93],"(AE).":[94],"QFF":[95],"covers":[96],"shortage":[98],"limited":[101],"understanding":[102],"spatial":[104],"structure":[105],"by":[106],"simulating":[107],"intermolecular":[108],"forces":[109],"explore":[111],"topological":[114],"relationships":[115],"between":[116,132],"pixel-level":[117],"features.":[118],"AE":[119],"introduces":[120],"an":[121],"adversarial":[122],"estimation":[123],"network":[124],"align":[126],"consistency":[128],"confidence":[130],"distributions":[131],"different":[133],"outputs,":[134],"thereby":[135],"reducing":[136],"interference":[138],"incompatible":[140],"semantic":[141],"features":[142],"model.":[145],"Extensive":[146],"experiments":[147],"across":[148],"three":[149],"challenging":[150],"scenarios":[153],"have":[154],"demonstrate":[155],"that":[156],"our":[157],"QuPaS":[158,168],"completely":[159],"outperforms":[160],"state-of-the-art":[162],"methods.":[166],"Furthermore,":[167],"able":[170],"maintain":[172],"stable":[173],"generalization":[174],"previously":[177],"unseen":[178],"domains.":[179],"code":[181],"will":[182],"be":[183],"released":[184],"at:":[185],"https://github.com/director87/QuPaS.":[186]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-02-28T00:00:00"}
