{"id":"https://openalex.org/W4407451007","doi":"https://doi.org/10.1109/tmi.2025.3541433","title":"TransMatch: Employing Bridging Strategy to Overcome Large Deformation for Feature Matching in Gastroscopy Scenario","display_name":"TransMatch: Employing Bridging Strategy to Overcome Large Deformation for Feature Matching in Gastroscopy Scenario","publication_year":2025,"publication_date":"2025-02-13","ids":{"openalex":"https://openalex.org/W4407451007","doi":"https://doi.org/10.1109/tmi.2025.3541433","pmid":"https://pubmed.ncbi.nlm.nih.gov/40031823"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2025.3541433","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2025.3541433","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/A5101797628","display_name":"Guosong Zhu","orcid":"https://orcid.org/0009-0000-2708-9410"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guosong Zhu","raw_affiliation_strings":["Network and Data Security Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Network and Data Security Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100763095","display_name":"Zhen Qin","orcid":"https://orcid.org/0000-0001-7857-9719"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Qin","raw_affiliation_strings":["Network and Data Security Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Network and Data Security Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077037730","display_name":"Linfang Yu","orcid":"https://orcid.org/0000-0001-5294-0094"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]},{"id":"https://openalex.org/I4210119262","display_name":"Chengdu Design & Research Institute of Building Materials Industry (China)","ror":"https://ror.org/028xtjj97","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210119262"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linfang Yu","raw_affiliation_strings":["Sichuan Postdoctoral Practice Innovation Base, China Mobile (Chengdu) Industrial Research Institute, Chengdu, China","Sichuan Postdoctoral Practice Innovation Base of China Mobile (Chengdu) Industrial Research Institute, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Sichuan Postdoctoral Practice Innovation Base, China Mobile (Chengdu) Industrial Research Institute, Chengdu, China","institution_ids":["https://openalex.org/I4210119262"]},{"raw_affiliation_string":"Sichuan Postdoctoral Practice Innovation Base of China Mobile (Chengdu) Industrial Research Institute, Chengdu, China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030009218","display_name":"Yi Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Ding","raw_affiliation_strings":["Network and Data Security Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Network and Data Security Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045032131","display_name":"Zhiguang Qin","orcid":"https://orcid.org/0000-0001-6745-6377"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiguang Qin","raw_affiliation_strings":["Network and Data Security Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Network and Data Security Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101797628"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":1.2181,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.76008775,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"44","issue":"6","first_page":"2643","last_page":"2656"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.840499997138977,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.840499997138977,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.8248000144958496,"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/bridging","display_name":"Bridging (networking)","score":0.6824445724487305},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5645653009414673},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5562922358512878},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5513432621955872},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5513196587562561},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.539007842540741},{"id":"https://openalex.org/keywords/image-matching","display_name":"Image matching","score":0.5195910930633545},{"id":"https://openalex.org/keywords/deformation","display_name":"Deformation (meteorology)","score":0.49779438972473145},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4898624122142792},{"id":"https://openalex.org/keywords/feature-matching","display_name":"Feature matching","score":0.4172408878803253},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3903684914112091},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30258870124816895},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15447527170181274},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.14176040887832642}],"concepts":[{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.6824445724487305},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5645653009414673},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5562922358512878},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5513432621955872},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5513196587562561},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.539007842540741},{"id":"https://openalex.org/C2986492983","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image matching","level":3,"score":0.5195910930633545},{"id":"https://openalex.org/C204366326","wikidata":"https://www.wikidata.org/wiki/Q3027650","display_name":"Deformation (meteorology)","level":2,"score":0.49779438972473145},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4898624122142792},{"id":"https://openalex.org/C2983787585","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature matching","level":3,"score":0.4172408878803253},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3903684914112091},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30258870124816895},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15447527170181274},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.14176040887832642},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005773","descriptor_name":"Gastroscopy","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D005773","descriptor_name":"Gastroscopy","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D005773","descriptor_name":"Gastroscopy","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D005773","descriptor_name":"Gastroscopy","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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, 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},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, 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},{"descriptor_ui":"D013270","descriptor_name":"Stomach","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D013270","descriptor_name":"Stomach","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D013270","descriptor_name":"Stomach","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D013270","descriptor_name":"Stomach","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2025.3541433","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2025.3541433","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:40031823","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40031823","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":[{"score":0.699999988079071,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G4029487415","display_name":null,"funder_award_id":"No.ZYGX2022YGRH012","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G488801917","display_name":null,"funder_award_id":"ZYGX2022YGRH012","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G6625346443","display_name":null,"funder_award_id":"62372083","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7660039546","display_name":null,"funder_award_id":"No.62372083","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"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1964855131","https://openalex.org/W1981930819","https://openalex.org/W2082333700","https://openalex.org/W2117228865","https://openalex.org/W2141584146","https://openalex.org/W2151103935","https://openalex.org/W2560533888","https://openalex.org/W2565639579","https://openalex.org/W2593414223","https://openalex.org/W2769654144","https://openalex.org/W2783666954","https://openalex.org/W2883362502","https://openalex.org/W2913429812","https://openalex.org/W2949258649","https://openalex.org/W2963760790","https://openalex.org/W2964251418","https://openalex.org/W2997150500","https://openalex.org/W3034275286","https://openalex.org/W3035239272","https://openalex.org/W3035477606","https://openalex.org/W3043075211","https://openalex.org/W3085824656","https://openalex.org/W3096831136","https://openalex.org/W3109908659","https://openalex.org/W3110612869","https://openalex.org/W3166285241","https://openalex.org/W3168286621","https://openalex.org/W3175295430","https://openalex.org/W3184828860","https://openalex.org/W3196819200","https://openalex.org/W3203041407","https://openalex.org/W3203518786","https://openalex.org/W4285583561","https://openalex.org/W4312857869","https://openalex.org/W4377715550","https://openalex.org/W4385245566","https://openalex.org/W4386066282","https://openalex.org/W4390872507","https://openalex.org/W6759534164","https://openalex.org/W6767201353","https://openalex.org/W6787218831","https://openalex.org/W6849417717","https://openalex.org/W6861536083"],"related_works":["https://openalex.org/W2350424104","https://openalex.org/W2152949619","https://openalex.org/W1090580760","https://openalex.org/W2384918310","https://openalex.org/W2372581239","https://openalex.org/W2050706403","https://openalex.org/W1974208548","https://openalex.org/W1973922169","https://openalex.org/W2172121815","https://openalex.org/W2193676006"],"abstract_inverted_index":{"Feature":[0],"matching":[1,14,44,57,93,124],"is":[2,48,84,105,136],"widely":[3],"applied":[4],"in":[5,34,128],"the":[6,25,52,68,92,110],"image":[7],"processing":[8],"field.":[9],"However,":[10],"both":[11],"traditional":[12],"feature":[13,43,123],"methods":[15,20],"and":[16,30,90,125],"previous":[17],"deep":[18],"learning-based":[19],"struggle":[21],"to":[22,108],"accurately":[23],"match":[24],"features":[26,58,95],"with":[27,59,77],"severe":[28,69,97],"deformations":[29],"large":[31],"displacements,":[32],"particularly":[33],"gastroscopy":[35,103,129,134],"scenario.":[36,130],"To":[37,66],"fill":[38],"this":[39],"gap,":[40],"an":[41,73],"effective":[42,74],"framework":[45],"named":[46],"TransMatch":[47],"proposed,":[49],"which":[50],"addresses":[51],"largely":[53],"displacements":[54],"issue":[55],"by":[56],"global":[60],"information":[61],"leveraged":[62],"via":[63],"Transformer":[64],"structure.":[65],"address":[67,109],"deformation":[70],"of":[71,94,122],"features,":[72],"bridging":[75,87],"strategy":[76,88],"a":[78,132],"novel":[79],"bidirectional":[80],"quadratic":[81],"interpolation":[82,127],"network":[83],"employed.":[85],"This":[86],"decomposes":[89],"simplifies":[91],"undergoing":[96],"deformations.":[98],"A":[99],"deblurring":[100],"module":[101],"for":[102,139],"scenario":[104],"specifically":[106],"designed":[107],"potential":[111],"blurriness.":[112],"Experiments":[113],"have":[114],"illustrated":[115],"that":[116],"proposed":[117],"method":[118],"achieves":[119],"state-of-the-art":[120],"performance":[121],"frame":[126],"Moreover,":[131],"large-scale":[133],"dataset":[135],"also":[137],"constructed":[138],"multiple":[140],"tasks.":[141]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}