{"id":"https://openalex.org/W4392904265","doi":"https://doi.org/10.1109/icassp48485.2024.10447937","title":"Lesion-Aware Open Set Medical Image Recognition with Domain Shift","display_name":"Lesion-Aware Open Set Medical Image Recognition with Domain Shift","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392904265","doi":"https://doi.org/10.1109/icassp48485.2024.10447937"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10447937","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10447937","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5100802541","display_name":"Yiqian Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yiqian Xu","raw_affiliation_strings":["Fudan University,School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing,Shanghai,China","School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University,School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100626035","display_name":"Rui-Wei Zhao","orcid":"https://orcid.org/0000-0002-8498-5761"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui-Wei Zhao","raw_affiliation_strings":["Fudan University,Academy for Engineering and Technology,Shanghai,China","Academy for Engineering and Technology, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University,Academy for Engineering and Technology,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Academy for Engineering and Technology, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101860531","display_name":"Rui Feng","orcid":"https://orcid.org/0000-0001-6648-953X"},"institutions":[{"id":"https://openalex.org/I4210159329","display_name":"Children's Hospital of Fudan University","ror":"https://ror.org/05n13be63","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210159329"]},{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Feng","raw_affiliation_strings":["Fudan University,School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing,Shanghai,China","Shanghai Collaborative Innovation Center of Intelligent Visual Computing, Shanghai, China","School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai, China","Academy for Engineering and Technology, Fudan University, Shanghai, China","National Children's Medical Center, Children's Hospital of Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University,School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Shanghai Collaborative Innovation Center of Intelligent Visual Computing, Shanghai, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Academy for Engineering and Technology, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"National Children's Medical Center, Children's Hospital of Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I4210159329"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100802541"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":0.6012,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.6979622,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"2151","last_page":"2155"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10392","display_name":"Cutaneous Melanoma Detection and Management","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10392","display_name":"Cutaneous Melanoma Detection and Management","score":0.9998999834060669,"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/T10862","display_name":"AI in cancer detection","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11306","display_name":"Nonmelanoma Skin Cancer Studies","score":0.9751999974250793,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/computer-science","display_name":"Computer science","score":0.7630469799041748},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.720198392868042},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.631091296672821},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6019548773765564},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5912273526191711},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.583153247833252},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5553483366966248},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.5452485680580139},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5336737632751465},{"id":"https://openalex.org/keywords/lesion","display_name":"Lesion","score":0.5162882208824158},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.48733267188072205},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4163597524166107},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.41171085834503174},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36746132373809814},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.11368688941001892},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06532275676727295},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.06253603100776672}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7630469799041748},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.720198392868042},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.631091296672821},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6019548773765564},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5912273526191711},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.583153247833252},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5553483366966248},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.5452485680580139},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5336737632751465},{"id":"https://openalex.org/C2781156865","wikidata":"https://www.wikidata.org/wiki/Q827023","display_name":"Lesion","level":2,"score":0.5162882208824158},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.48733267188072205},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4163597524166107},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.41171085834503174},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36746132373809814},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.11368688941001892},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06532275676727295},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.06253603100776672},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp48485.2024.10447937","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10447937","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2794825826","https://openalex.org/W2797527544","https://openalex.org/W2895752198","https://openalex.org/W2963149653","https://openalex.org/W2963946669","https://openalex.org/W2964416181","https://openalex.org/W3034217686","https://openalex.org/W3034988872","https://openalex.org/W3035081753","https://openalex.org/W3091303064","https://openalex.org/W3102785203","https://openalex.org/W3130794141","https://openalex.org/W3143784018","https://openalex.org/W3176716813","https://openalex.org/W3198262548","https://openalex.org/W3213388153","https://openalex.org/W4283782831","https://openalex.org/W4284976013","https://openalex.org/W4306393617","https://openalex.org/W4365143687","https://openalex.org/W4375869352","https://openalex.org/W6766394743","https://openalex.org/W6803989093","https://openalex.org/W6839637238"],"related_works":["https://openalex.org/W3162204513","https://openalex.org/W4375867731","https://openalex.org/W2371138613","https://openalex.org/W2048963458","https://openalex.org/W43109613","https://openalex.org/W2359952343","https://openalex.org/W2239445980","https://openalex.org/W2080152487","https://openalex.org/W3083152911","https://openalex.org/W3022347918"],"abstract_inverted_index":{"Medical":[0],"image":[1,33,88],"diagnosis":[2],"in":[3,30],"real":[4],"clinical":[5],"scenario":[6],"faces":[7],"the":[8,19,26,31,37,63,68,86,136,144],"challenging":[9],"open":[10,92],"set":[11,93],"recognition":[12],"problem":[13],"with":[14,95,111],"domain":[15,127],"shift.":[16],"Based":[17],"on":[18,67,135],"observation":[20],"that":[21],"it":[22,54],"is":[23],"often":[24],"merely":[25],"local":[27],"lesion":[28,69,87,139],"areas":[29,70],"whole":[32],"decide":[34],"or":[35,40],"cause":[36],"true":[38],"seen":[39,73],"potential":[41],"unseen":[42,75,100],"disease":[43],"labels,":[44],"we":[45,106,141],"propose":[46,107],"a":[47,57,79],"unified":[48],"deep":[49],"learning":[50,82],"framework":[51],"to":[52,61,84,98],"address":[53],"by":[55,78],"establishing":[56],"lesion-aware":[58],"mask":[59,116],"generator":[60],"guide":[62],"model":[64],"towards":[65],"focusing":[66],"for":[71,118,126],"both":[72],"and":[74,90,115,121,132],"diseases,":[76],"followed":[77],"multi-task":[80],"feature":[81,124],"module":[83],"extract":[85],"features;":[89],"an":[91],"recognizer":[94],"improved":[96,119],"capability":[97],"reject":[99],"classes.":[101],"Last":[102],"but":[103],"not":[104],"least,":[105],"tailored":[108],"training":[109],"strategies":[110],"mixed":[112],"up":[113],"data":[114],"augmentation":[117],"OSR":[120],"multi-clue":[122],"cross-domain":[123],"alignment":[125],"generalization.":[128],"Through":[129],"comparative":[130],"experiments":[131],"ablation":[133],"studies":[134],"representative":[137],"skin":[138],"benchmarks,":[140],"successfully":[142],"validate":[143],"effectiveness":[145],"of":[146],"our":[147],"proposed":[148],"framework.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}