{"id":"https://openalex.org/W4391164115","doi":"https://doi.org/10.1109/tmi.2024.3358295","title":"Few-Shot Medical Image Segmentation via Generating Multiple Representative Descriptors","display_name":"Few-Shot Medical Image Segmentation via Generating Multiple Representative Descriptors","publication_year":2024,"publication_date":"2024-01-24","ids":{"openalex":"https://openalex.org/W4391164115","doi":"https://doi.org/10.1109/tmi.2024.3358295","pmid":"https://pubmed.ncbi.nlm.nih.gov/38265915"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2024.3358295","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2024.3358295","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/A5102097784","display_name":"Ziming Cheng","orcid":"https://orcid.org/0009-0006-4316-0903"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziming Cheng","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101749560","display_name":"Shidong Wang","orcid":"https://orcid.org/0000-0003-1023-1286"},"institutions":[{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Shidong Wang","raw_affiliation_strings":["School of Engineering, Newcastle University, Newcastle upon Tyne, U.K"],"raw_orcid":"https://orcid.org/0000-0003-1023-1286","affiliations":[{"raw_affiliation_string":"School of Engineering, Newcastle University, Newcastle upon Tyne, U.K","institution_ids":["https://openalex.org/I84884186"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114417858","display_name":"Tong Xin","orcid":"https://orcid.org/0000-0001-5479-262X"},"institutions":[{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tong Xin","raw_affiliation_strings":["School of Computing, Newcastle University, Newcastle upon Tyne, U.K"],"raw_orcid":"https://orcid.org/0000-0001-5479-262X","affiliations":[{"raw_affiliation_string":"School of Computing, Newcastle University, Newcastle upon Tyne, U.K","institution_ids":["https://openalex.org/I84884186"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061274720","display_name":"Tao Zhou","orcid":"https://orcid.org/0000-0002-2592-1688"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Zhou","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064008061","display_name":"Haofeng Zhang","orcid":"https://orcid.org/0000-0002-4039-7618"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haofeng Zhang","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-4039-7618","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082634513","display_name":"Ling Shao","orcid":"https://orcid.org/0000-0002-8264-6117"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling Shao","raw_affiliation_strings":["UCAS-Terminus AI Laboratory, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8264-6117","affiliations":[{"raw_affiliation_string":"UCAS-Terminus AI Laboratory, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.8691,"has_fulltext":false,"cited_by_count":60,"citation_normalized_percentile":{"value":0.99093462,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"43","issue":"6","first_page":"2202","last_page":"2214"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994000196456909,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9994000196456909,"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":0.9980999827384949,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9980999827384949,"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/computer-science","display_name":"Computer science","score":0.8108381032943726},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6455981135368347},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6070873141288757},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5519022941589355},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4865931272506714},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4733719229698181},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45220351219177246},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.44491544365882874},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.44330596923828125},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41705167293548584},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35425153374671936}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8108381032943726},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6455981135368347},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6070873141288757},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5519022941589355},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4865931272506714},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4733719229698181},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45220351219177246},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.44491544365882874},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.44330596923828125},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41705167293548584},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35425153374671936},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","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":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","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":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"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":"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":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"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},{"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.2024.3358295","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2024.3358295","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:38265915","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38265915","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":[{"id":"https://metadata.un.org/sdg/16","score":0.4099999964237213,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G5006410657","display_name":null,"funder_award_id":"62371235","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6911399322","display_name":null,"funder_award_id":"BK20201306","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G6917360456","display_name":null,"funder_award_id":"61929104","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8249999852","display_name":null,"funder_award_id":"62172228","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/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1641498739","https://openalex.org/W1861492603","https://openalex.org/W1977556410","https://openalex.org/W2117539524","https://openalex.org/W2187089797","https://openalex.org/W2763160469","https://openalex.org/W2799597343","https://openalex.org/W2919115771","https://openalex.org/W2963078159","https://openalex.org/W2963730812","https://openalex.org/W2964227007","https://openalex.org/W2979689312","https://openalex.org/W2979774820","https://openalex.org/W2979808779","https://openalex.org/W2980269695","https://openalex.org/W2990230185","https://openalex.org/W2995848654","https://openalex.org/W2996290406","https://openalex.org/W3002569343","https://openalex.org/W3033502887","https://openalex.org/W3035665735","https://openalex.org/W3047258141","https://openalex.org/W3049410041","https://openalex.org/W3083779147","https://openalex.org/W3088257970","https://openalex.org/W3096812112","https://openalex.org/W3097337894","https://openalex.org/W3108189450","https://openalex.org/W3131362130","https://openalex.org/W3135126802","https://openalex.org/W3167559252","https://openalex.org/W3176065502","https://openalex.org/W3188064562","https://openalex.org/W3216552527","https://openalex.org/W4211030596","https://openalex.org/W4211031152","https://openalex.org/W4211186538","https://openalex.org/W4221153269","https://openalex.org/W4281563877","https://openalex.org/W4283383251","https://openalex.org/W4295939506","https://openalex.org/W4295940432","https://openalex.org/W4312592495","https://openalex.org/W4312740069","https://openalex.org/W4319300548","https://openalex.org/W4321232185","https://openalex.org/W4386187711","https://openalex.org/W4387211355","https://openalex.org/W4387225878","https://openalex.org/W4394984056","https://openalex.org/W6735236233","https://openalex.org/W6736057607","https://openalex.org/W6756657096","https://openalex.org/W6781655145","https://openalex.org/W6795934563","https://openalex.org/W6902762063"],"related_works":["https://openalex.org/W3000097931","https://openalex.org/W2354322770","https://openalex.org/W4237547500","https://openalex.org/W1570848052","https://openalex.org/W2373192430","https://openalex.org/W4239268388","https://openalex.org/W1537496349","https://openalex.org/W4243305035","https://openalex.org/W2379407973","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Automatic":[0],"medical":[1,22,177,185],"image":[2,23,186],"segmentation":[3],"has":[4,53],"witnessed":[5],"significant":[6],"development":[7],"with":[8,40],"the":[9,32,75,86,112,115,133,139,149,193,197,202],"success":[10],"of":[11,88,151,204],"large":[12],"models":[13],"on":[14,181],"massive":[15],"datasets.":[16],"However,":[17,78],"acquiring":[18],"and":[19,38,69,147,173,196],"annotating":[20],"vast":[21],"datasets":[24,187],"often":[25],"proves":[26],"to":[27,31,73,93,102,131,143,167],"be":[28],"impractical":[29],"due":[30],"time":[33],"consumption,":[34],"specialized":[35],"expertise":[36],"requirements,":[37],"compliance":[39],"patient":[41],"privacy":[42],"standards,":[43],"etc.":[44],"As":[45],"a":[46,80,123,164,169],"result,":[47],"Few-shot":[48],"Medical":[49],"Image":[50],"Segmentation":[51],"(FSMIS)":[52],"become":[54],"an":[55],"increasingly":[56],"compelling":[57],"research":[58],"direction.":[59],"Conventional":[60],"FSMIS":[61],"methods":[62],"usually":[63],"learn":[64],"prototypes":[65],"from":[66],"support":[67],"images":[68],"apply":[70],"nearest-neighbor":[71],"searching":[72],"segment":[74],"query":[76],"images.":[77,178],"only":[79],"single":[81],"prototype":[82],"cannot":[83],"well":[84],"represent":[85,111],"distribution":[87],"each":[89],"class,":[90],"thus":[91],"leading":[92],"restricted":[94],"performance.":[95],"To":[96],"address":[97,144],"this":[98],"problem,":[99],"we":[100,121,153],"propose":[101],"Generate":[103],"Multiple":[104,124],"Representative":[105],"Descriptors":[106],"(GMRD),":[107],"which":[108],"can":[109],"comprehensively":[110],"commonality":[113],"within":[114],"corresponding":[116],"class":[117],"distribution.":[118],"In":[119],"addition,":[120],"design":[122,166],"Affinity":[125],"Maps":[126],"based":[127],"Prediction":[128],"(MAMP)":[129],"module":[130],"fuse":[132],"multiple":[134],"affinity":[135],"maps":[136],"generated":[137],"by":[138],"aforementioned":[140],"descriptors.":[141],"Furthermore,":[142],"intra-class":[145],"variation":[146],"enhance":[148],"representativeness":[150],"descriptors,":[152],"introduce":[154],"two":[155],"novel":[156],"losses.":[157],"Notably,":[158],"our":[159,190,205],"model":[160],"is":[161],"structured":[162],"as":[163],"dual-path":[165],"achieve":[168],"balance":[170],"between":[171],"foreground":[172],"background":[174],"differences":[175],"in":[176],"Extensive":[179],"experiments":[180],"four":[182],"publicly":[183],"available":[184],"demonstrate":[188],"that":[189],"method":[191],"outperforms":[192],"state-of-the-art":[194],"methods,":[195],"detailed":[198],"analysis":[199],"also":[200],"verifies":[201],"effectiveness":[203],"designed":[206],"module.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":15},{"year":2025,"cited_by_count":36},{"year":2024,"cited_by_count":9}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}