{"id":"https://openalex.org/W4405489076","doi":"https://doi.org/10.1109/embc53108.2024.10781985","title":"Visual In-Context Learning for Few-Shot Eczema Segmentation","display_name":"Visual In-Context Learning for Few-Shot Eczema Segmentation","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4405489076","doi":"https://doi.org/10.1109/embc53108.2024.10781985","pmid":"https://pubmed.ncbi.nlm.nih.gov/40039380"},"language":"en","primary_location":{"id":"doi:10.1109/embc53108.2024.10781985","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc53108.2024.10781985","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-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/A5100629400","display_name":"Neelesh Kumar","orcid":"https://orcid.org/0000-0002-0905-6866"},"institutions":[{"id":"https://openalex.org/I74680897","display_name":"Procter & Gamble (United States)","ror":"https://ror.org/04dkns738","country_code":"US","type":"company","lineage":["https://openalex.org/I74680897"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Neelesh Kumar","raw_affiliation_strings":["Procter and Gamble,Mason,OH,USA"],"affiliations":[{"raw_affiliation_string":"Procter and Gamble,Mason,OH,USA","institution_ids":["https://openalex.org/I74680897"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076160972","display_name":"Oya Aran","orcid":"https://orcid.org/0000-0002-4679-9335"},"institutions":[{"id":"https://openalex.org/I74680897","display_name":"Procter & Gamble (United States)","ror":"https://ror.org/04dkns738","country_code":"US","type":"company","lineage":["https://openalex.org/I74680897"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Oya Aran","raw_affiliation_strings":["Procter and Gamble,Mason,OH,USA"],"affiliations":[{"raw_affiliation_string":"Procter and Gamble,Mason,OH,USA","institution_ids":["https://openalex.org/I74680897"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022833665","display_name":"Venugopal Vasudevan","orcid":null},"institutions":[{"id":"https://openalex.org/I74680897","display_name":"Procter & Gamble (United States)","ror":"https://ror.org/04dkns738","country_code":"US","type":"company","lineage":["https://openalex.org/I74680897"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Venugopal Vasudevan","raw_affiliation_strings":["Procter and Gamble,Mason,OH,USA"],"affiliations":[{"raw_affiliation_string":"Procter and Gamble,Mason,OH,USA","institution_ids":["https://openalex.org/I74680897"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100629400"],"corresponding_institution_ids":["https://openalex.org/I74680897"],"apc_list":null,"apc_paid":null,"fwci":1.0305,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.80633252,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"2024","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10837","display_name":"Dermatology and Skin Diseases","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2708","display_name":"Dermatology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10837","display_name":"Dermatology and Skin Diseases","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2708","display_name":"Dermatology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10392","display_name":"Cutaneous Melanoma Detection and Management","score":0.9832000136375427,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10308","display_name":"Systemic Lupus Erythematosus Research","score":0.9743000268936157,"subfield":{"id":"https://openalex.org/subfields/2745","display_name":"Rheumatology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.6908461451530457},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6737228631973267},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6206339597702026},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5979052782058716},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5285338759422302},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46945255994796753},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4513116478919983},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12119314074516296}],"concepts":[{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.6908461451530457},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6737228631973267},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6206339597702026},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5979052782058716},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5285338759422302},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46945255994796753},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4513116478919983},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12119314074516296},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine 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":"D004485","descriptor_name":"Eczema","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D004485","descriptor_name":"Eczema","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D004485","descriptor_name":"Eczema","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D004485","descriptor_name":"Eczema","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D004485","descriptor_name":"Eczema","qualifier_ui":"Q000175","qualifier_name":"diagnosis","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":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","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":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc53108.2024.10781985","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc53108.2024.10781985","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:40039380","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40039380","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":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2005052437","https://openalex.org/W2017561954","https://openalex.org/W2048094000","https://openalex.org/W2105127837","https://openalex.org/W2536954140","https://openalex.org/W2593131308","https://openalex.org/W2742893201","https://openalex.org/W2887280559","https://openalex.org/W2902384072","https://openalex.org/W2963201472","https://openalex.org/W2979879653","https://openalex.org/W2980136202","https://openalex.org/W3092609815","https://openalex.org/W3094502228","https://openalex.org/W3111690130","https://openalex.org/W3126220825","https://openalex.org/W4240233694","https://openalex.org/W4281390715","https://openalex.org/W4294434188","https://openalex.org/W4308620628","https://openalex.org/W4312804044","https://openalex.org/W4313156423","https://openalex.org/W4320351027","https://openalex.org/W4321232185","https://openalex.org/W4322748445","https://openalex.org/W4366208220","https://openalex.org/W4386076112","https://openalex.org/W4390873795","https://openalex.org/W4390874575","https://openalex.org/W6791353385","https://openalex.org/W6843258702","https://openalex.org/W6849698517"],"related_works":["https://openalex.org/W2074502265","https://openalex.org/W4214877189","https://openalex.org/W2773965352","https://openalex.org/W2381179799","https://openalex.org/W2980279061","https://openalex.org/W2334685461","https://openalex.org/W2366718574","https://openalex.org/W2359774528","https://openalex.org/W4298312966","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Automated":[0],"diagnosis":[1],"of":[2,22,27,60,74,88,121,159,177],"eczema":[3,28,36,82,107,123],"from":[4,30,134],"digital":[5],"camera":[6],"images":[7,89,149],"is":[8,24],"crucial":[9],"for":[10,35,94,102,106,162,197],"applications":[11],"that":[12,78,127,155,201],"allow":[13],"patients":[14],"to":[15,67,169,187,204],"self-monitor":[16],"their":[17],"recovery.":[18],"An":[19],"important":[20],"component":[21],"this":[23],"the":[25,72,135,175,195,207,215],"segmentation":[26,37,83,108],"region":[29],"such":[31,43],"images.":[32],"Current":[33],"methods":[34,55],"rely":[38],"on":[39,118,147],"deep":[40],"neural":[41],"networks":[42],"as":[44],"convolutional":[45],"(CNN)-based":[46],"U-Net":[47,145],"or":[48],"transformer-based":[49],"Swin":[50],"U-Net.":[51],"While":[52],"effective,":[53],"these":[54],"require":[56],"a":[57,86,100,110,119,143],"high":[58],"volume":[59],"annotated":[61,122],"data,":[62],"which":[63],"can":[64,79,202],"be":[65,167],"difficult":[66],"obtain.":[68],"Here,":[69],"we":[70,98,125],"investigate":[71],"capabilities":[73],"visual":[75,178],"in-context":[76,104,179],"learning":[77,105,180],"perform":[80],"few-shot":[81],"with":[84,109,129],"just":[85,130],"handful":[87],"and":[90,184],"without":[91],"any":[92],"need":[93],"retraining":[95],"models.":[96],"Specifically,":[97],"propose":[99],"strategy":[101],"applying":[103],"generalist":[111],"vision":[112],"model":[113],"called":[114],"SegGPT.":[115],"When":[116],"benchmarked":[117],"dataset":[120,137],"images,":[124],"show":[126],"SegGPT":[128,163],"2":[131],"representative":[132],"prompts":[133,161],"training":[136,216],"performs":[138],"better":[139,185],"(mIoU:":[140,150],"36.69)":[141],"than":[142],"CNN":[144],"trained":[146],"428":[148],"32.60).":[151],"We":[152],"also":[153,193],"discover":[154],"using":[156],"more":[157],"number":[158],"image":[160],"may":[164],"in":[165,181,206,214],"fact":[166],"harmful":[168],"its":[170],"performance.":[171],"Our":[172,191],"result":[173,192],"highlights":[174],"importance":[176],"developing":[182,198],"faster":[183],"solutions":[186,200],"skin":[188],"imaging":[189],"tasks.":[190],"paves":[194],"way":[196],"inclusive":[199],"cater":[203],"minorities":[205],"demographics":[208],"who":[209],"are":[210],"typically":[211],"heavily":[212],"under-represented":[213],"data.":[217]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
