{"id":"https://openalex.org/W7161847181","doi":"https://doi.org/10.1109/isbi61048.2026.11515624","title":"Segment Anything Model With Refined-Prompts for Multimodal Cross-Data Few-Shot Medical Image Segmentation","display_name":"Segment Anything Model With Refined-Prompts for Multimodal Cross-Data Few-Shot Medical Image Segmentation","publication_year":2026,"publication_date":"2026-04-08","ids":{"openalex":"https://openalex.org/W7161847181","doi":"https://doi.org/10.1109/isbi61048.2026.11515624"},"language":null,"primary_location":{"id":"doi:10.1109/isbi61048.2026.11515624","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi61048.2026.11515624","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":"article","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/A5134008315","display_name":"Bhumika Adhya","orcid":null},"institutions":[{"id":"https://openalex.org/I1338293689","display_name":"English Heritage","ror":"https://ror.org/015j35893","country_code":"GB","type":"archive","lineage":["https://openalex.org/I1338293689"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Bhumika Adhya","raw_affiliation_strings":["Heritage Institute of Technology,Dept. of CSE (DS),Kolkata,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Heritage Institute of Technology,Dept. of CSE (DS),Kolkata,India","institution_ids":["https://openalex.org/I1338293689"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115407371","display_name":"Saptarshi Pani","orcid":"https://orcid.org/0009-0001-6918-443X"},"institutions":[{"id":"https://openalex.org/I170979836","display_name":"Jadavpur University","ror":"https://ror.org/02af4h012","country_code":"IN","type":"education","lineage":["https://openalex.org/I170979836"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Saptarshi Pani","raw_affiliation_strings":["Jadavpur University,Dept. of EE,Kolkata,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jadavpur University,Dept. of EE,Kolkata,India","institution_ids":["https://openalex.org/I170979836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039024084","display_name":"I A Shpakovskaya","orcid":null},"institutions":[{"id":"https://openalex.org/I2799540354","display_name":"First Pavlov State Medical University of St. Petersburg","ror":"https://ror.org/04g525b43","country_code":"RU","type":"education","lineage":["https://openalex.org/I2799540354"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Irina Shpakovskaya","raw_affiliation_strings":["I.P. Pavlov St. Petersburg First State Medical University, St. Petersburg, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"I.P. Pavlov St. Petersburg First State Medical University, St. Petersburg, Russia","institution_ids":["https://openalex.org/I2799540354"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136554073","display_name":"Dmitrii Kaplun","orcid":null},"institutions":[{"id":"https://openalex.org/I4210139213","display_name":"Research Institute of Semiconductor Devices","ror":"https://ror.org/03f2t9x29","country_code":"RU","type":"facility","lineage":["https://openalex.org/I4210139213"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Dmitrii Kaplun","raw_affiliation_strings":["Intelligent Devices Institute, SPb ETU \u201dLETI\u201d, St. Petersburg, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Devices Institute, SPb ETU \u201dLETI\u201d, St. Petersburg, Russia","institution_ids":["https://openalex.org/I4210139213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5136521514","display_name":"Ram Sarkar","orcid":null},"institutions":[{"id":"https://openalex.org/I170979836","display_name":"Jadavpur University","ror":"https://ror.org/02af4h012","country_code":"IN","type":"education","lineage":["https://openalex.org/I170979836"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ram Sarkar","raw_affiliation_strings":["Jadavpur University,Dept. of CSE,Kolkata,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jadavpur University,Dept. of CSE,Kolkata,India","institution_ids":["https://openalex.org/I170979836"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5134008315"],"corresponding_institution_ids":["https://openalex.org/I1338293689"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.8900439,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.26840001344680786,"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":0.26840001344680786,"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":0.07569999992847443,"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/T10057","display_name":"Face and Expression Recognition","score":0.062199998646974564,"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/image-segmentation","display_name":"Image segmentation","score":0.4943999946117401},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4941999912261963},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3873000144958496},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3686000108718872},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.36250001192092896},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.33980000019073486}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7139000296592712},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6208999752998352},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6086000204086304},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4943999946117401},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4941999912261963},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3873000144958496},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3686000108718872},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.36250001192092896},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.33980000019073486},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.310699999332428},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.2549999952316284},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2529999911785126}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi61048.2026.11515624","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi61048.2026.11515624","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":14,"referenced_works":["https://openalex.org/W2118386984","https://openalex.org/W2498889855","https://openalex.org/W2997286550","https://openalex.org/W3130794141","https://openalex.org/W3164631742","https://openalex.org/W3198377975","https://openalex.org/W3212197959","https://openalex.org/W4224933377","https://openalex.org/W4402727522","https://openalex.org/W4402753894","https://openalex.org/W4402754105","https://openalex.org/W4411735594","https://openalex.org/W4415123916","https://openalex.org/W4415796461"],"related_works":[],"abstract_inverted_index":{"Medical":[0],"image":[1],"segmentation":[2,31],"under":[3],"limited":[4],"supervision":[5],"remains":[6],"a":[7,27,56,61,68],"challenging":[8],"problem,":[9],"particularly":[10],"in":[11,16,93],"cross-data":[12,29],"scenarios,":[13],"where":[14],"shifts":[15],"data":[17,112],"distribution":[18],"hinder":[19],"model":[20,123],"generalization.":[21],"In":[22],"this":[23],"work,":[24],"we":[25],"propose":[26],"multimodal":[28],"few-shot":[30],"framework":[32,106],"that":[33,104],"synergistically":[34],"integrates":[35],"the":[36,40,46,105,121],"visual":[37],"priors":[38],"of":[39,50,120],"Segment":[41],"Anything":[42],"Model":[43],"(SAM)":[44],"with":[45,67],"semantic":[47],"reasoning":[48],"capabilities":[49],"Contrastive":[51],"Language-Image":[52],"Pre-Training":[53],"(CLIP)":[54],"through":[55],"cross-attention":[57],"fusion":[58],"module,":[59],"while":[60],"U-Net-based":[62],"Adaptive":[63],"Mask":[64],"Refiner":[65],"aided":[66],"Post-Processing":[69],"module":[70],"enhance":[71],"boundary":[72],"precision":[73],"and":[74,88,98,124],"anatomical":[75],"consistency.":[76],"Extensive":[77],"experiments":[78],"across":[79],"different":[80],"benchmark":[81],"datasets,":[82],"including":[83],"Kvasir-SEG,":[84],"KvasirCapsule-SEG,":[85],"ISIC":[86],"2016,":[87],"PH2,":[89],"demonstrate":[90],"consistent":[91],"improvements":[92],"Dice":[94],"Score":[95],"Coefficient":[96],"(DSC)":[97],"Intersection":[99],"over":[100],"Union":[101],"(IoU),":[102],"validating":[103],"adapts":[107],"effectively":[108],"to":[109],"domain-specific":[110],"medical":[111],"without":[113],"requiring":[114],"extensive":[115],"annotations.":[116],"The":[117],"source":[118],"code":[119],"proposed":[122],"additional":[125],"results":[126],"are":[127],"available":[128],"at:":[129],"https://github.com/SaptarshiPani/SAM-CLIP/":[130]},"counts_by_year":[],"updated_date":"2026-05-28T06:12:49.907903","created_date":"2026-05-21T00:00:00"}
