{"id":"https://openalex.org/W7161812192","doi":"https://doi.org/10.1109/isbi61048.2026.11515319","title":"Training-Free One-Shot Medical Image Segmentation with SAM via Confidence and Consistency-Based Bidirectional Prompt Evolution","display_name":"Training-Free One-Shot Medical Image Segmentation with SAM via Confidence and Consistency-Based Bidirectional Prompt Evolution","publication_year":2026,"publication_date":"2026-04-08","ids":{"openalex":"https://openalex.org/W7161812192","doi":"https://doi.org/10.1109/isbi61048.2026.11515319"},"language":null,"primary_location":{"id":"doi:10.1109/isbi61048.2026.11515319","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi61048.2026.11515319","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI)","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/A5100783919","display_name":"Muyang Li","orcid":"https://orcid.org/0000-0002-8007-7387"},"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":"Muyang Li","raw_affiliation_strings":["School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China,Chengdu,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136529566","display_name":"Kang Li","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":"Kang Li","raw_affiliation_strings":["School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China,Chengdu,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5136601368","display_name":"Guotai Wang","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":"Guotai Wang","raw_affiliation_strings":["School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China,Chengdu,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I150229711"],"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":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.2766000032424927,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.2766000032424927,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.2054000049829483,"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":0.03909999877214432,"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/segmentation","display_name":"Segmentation","score":0.5274999737739563},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4993000030517578},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4156000018119812},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.39910000562667847},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.33399999141693115},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.3237999975681305}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6812000274658203},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.616100013256073},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6098999977111816},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5274999737739563},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4993000030517578},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4156000018119812},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.39910000562667847},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.33399999141693115},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.3237999975681305},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.32350000739097595},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.303600013256073},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.2793000042438507}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi61048.2026.11515319","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi61048.2026.11515319","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI)","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":10,"referenced_works":["https://openalex.org/W2592929672","https://openalex.org/W2997286550","https://openalex.org/W3097337894","https://openalex.org/W3165010883","https://openalex.org/W4386071798","https://openalex.org/W4390873519","https://openalex.org/W4390874575","https://openalex.org/W4404199184","https://openalex.org/W4414364873","https://openalex.org/W7160011437"],"related_works":[],"abstract_inverted_index":{"Medical":[0],"image":[1,88,92],"segmentation":[2,184],"is":[3,144],"crucial":[4],"for":[5,26,53,62,132,138,182,189],"precise":[6,60],"diagnosis":[7],"and":[8,23,29,114,135,156,185],"quantitative":[9],"analysis,":[10],"yet":[11],"its":[12],"widespread":[13],"adoption":[14],"faces":[15],"two":[16,147],"main":[17],"challenges:":[18],"1)":[19,149],"the":[20,31,43,102,105,112],"high":[21],"cost":[22],"expertise":[24],"required":[25],"pixel-level":[27],"annotation,":[28],"2)":[30,157],"computational":[32],"complexity":[33],"of":[34,104,178],"model":[35],"training.":[36],"Recently,":[37],"vision":[38],"foundation":[39],"models":[40],"(VFMs),":[41],"particularly":[42],"Segment":[44],"Anything":[45],"Model":[46],"(SAM),":[47],"have":[48],"demonstrated":[49],"strong":[50],"prompt-based":[51],"generalization":[52],"accurate":[54],"boundary":[55],"detection.":[56],"However,":[57],"automatically":[58],"generating":[59,129],"prompts":[61,80,106,126],"SAM":[63],"remains":[64],"a":[65,74,83,86,90,175,202],"key":[66],"bottleneck.":[67],"To":[68],"address":[69],"these":[70],"issues,":[71],"we":[72,110],"propose":[73,111],"training-free,":[75],"one-shot":[76],"framework":[77],"that":[78],"generates":[79],"by":[81,127,146],"transferring":[82],"label":[84],"from":[85,152,162],"support":[87,205],"to":[89,100],"query":[91],"based":[93],"on":[94,170,180,187],"DINOv3":[95,153],"feature":[96,154],"similarity.":[97],"In":[98],"addition,":[99],"enhance":[101],"accuracy":[103],"fed":[107],"into":[108],"SAM,":[109],"Confidence":[113],"Consistency-based":[115],"Bidirectional":[116],"Prompt":[117],"Evolution":[118],"(<tex":[119],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[120],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$\\mathrm{C}^{2}$</tex>":[121],"BPE)":[122],"module,":[123],"which":[124],"refines":[125],"iteratively":[128],"positive":[130],"points":[131,137],"under-segmented":[133],"regions":[134],"negative":[136],"over-segmented":[139],"regions.":[140],"This":[141],"refinement":[142],"process":[143],"guided":[145],"criteria:":[148],"confidence,":[150],"derived":[151],"similarity,":[155],"consistency,":[158],"measured":[159],"across":[160],"predictions":[161],"augmented":[163],"inputs.":[164],"Our":[165],"approach":[166],"achieves":[167],"state-of-the-art":[168],"performance":[169],"challenging":[171],"medical":[172],"benchmarks,":[173],"with":[174],"Dice":[176],"score":[177],"84.73%":[179],"Kvasir-SEG":[181],"polyp":[183],"83.22%":[186],"ISIC":[188],"skin":[190],"lesion":[191],"segmentation,":[192],"respectively.":[193],"Notably,":[194],"our":[195],"method":[196],"outperforms":[197],"existing":[198],"methods":[199],"using":[200],"only":[201],"single":[203],"annotated":[204],"image,":[206],"without":[207],"requiring":[208],"fine-tuning":[209],"or":[210],"retraining.":[211]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-05-21T00:00:00"}
