{"id":"https://openalex.org/W4406261323","doi":"https://doi.org/10.1109/bibm62325.2024.10822568","title":"Advancing Ultrasound Medical Continuous Learning with Task-Specific Generalization and Adaptability","display_name":"Advancing Ultrasound Medical Continuous Learning with Task-Specific Generalization and Adaptability","publication_year":2024,"publication_date":"2024-12-03","ids":{"openalex":"https://openalex.org/W4406261323","doi":"https://doi.org/10.1109/bibm62325.2024.10822568"},"language":"en","primary_location":{"id":"doi:10.1109/bibm62325.2024.10822568","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822568","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5104155847","display_name":"Chunzheng Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunzheng Zhu","raw_affiliation_strings":["Hunan University,College of Computer Science and Electronic Engineering,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan University,College of Computer Science and Electronic Engineering,Changsha,China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052507628","display_name":"Jianxin Lin","orcid":"https://orcid.org/0000-0003-0359-8821"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianxin Lin","raw_affiliation_strings":["Hunan University,College of Computer Science and Electronic Engineering,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan University,College of Computer Science and Electronic Engineering,Changsha,China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101784511","display_name":"Guanghua Tan","orcid":"https://orcid.org/0000-0001-6001-2351"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanghua Tan","raw_affiliation_strings":["Hunan University,College of Computer Science and Electronic Engineering,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan University,College of Computer Science and Electronic Engineering,Changsha,China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024385275","display_name":"Ningbo Zhu","orcid":"https://orcid.org/0000-0001-7913-2740"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ningbo Zhu","raw_affiliation_strings":["Hunan University,College of Computer Science and Electronic Engineering,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan University,College of Computer Science and Electronic Engineering,Changsha,China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078793726","display_name":"Kenli Li","orcid":"https://orcid.org/0000-0002-2635-7716"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kenli Li","raw_affiliation_strings":["Hunan University,College of Computer Science and Electronic Engineering,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan University,College of Computer Science and Electronic Engineering,Changsha,China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115695053","display_name":"Chunlian Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunlian Wang","raw_affiliation_strings":["Hunan University Affiliated Hospital,Ultrasound Diagnosis Department,Xiangtan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan University Affiliated Hospital,Ultrasound Diagnosis Department,Xiangtan,China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100429158","display_name":"Shengli Li","orcid":"https://orcid.org/0000-0003-0570-4165"},"institutions":[{"id":"https://openalex.org/I4210104539","display_name":"Shenzhen Maternity and Child Healthcare Hospital","ror":"https://ror.org/01me2d674","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210104539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengli Li","raw_affiliation_strings":["Shenzhen Maternity and Child Healthcare Hospital,Department of Ultrasound,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Maternity and Child Healthcare Hospital,Department of Ultrasound,Shenzhen,China","institution_ids":["https://openalex.org/I4210104539"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3055,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.68265001,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"3019","last_page":"3025"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.6302000284194946,"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"}},"topics":[{"id":"https://openalex.org/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.6302000284194946,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.8723850846290588},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.7275132536888123},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.688794732093811},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6856206655502319},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4718862771987915},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.4484890103340149},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4244520664215088},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12238678336143494},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11594966053962708},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.06039053201675415},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.05488285422325134}],"concepts":[{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.8723850846290588},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.7275132536888123},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.688794732093811},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6856206655502319},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4718862771987915},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.4484890103340149},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4244520664215088},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12238678336143494},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11594966053962708},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.06039053201675415},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.05488285422325134},{"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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm62325.2024.10822568","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822568","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1682403713","https://openalex.org/W2047057213","https://openalex.org/W2108598243","https://openalex.org/W2786446225","https://openalex.org/W2962843773","https://openalex.org/W2964189064","https://openalex.org/W2991372685","https://openalex.org/W3180392831","https://openalex.org/W3198659451","https://openalex.org/W3207854039","https://openalex.org/W4300928835","https://openalex.org/W4306194578","https://openalex.org/W4313028293","https://openalex.org/W4372286497","https://openalex.org/W4389858070","https://openalex.org/W4390871722","https://openalex.org/W4400680576","https://openalex.org/W6791353385","https://openalex.org/W6794559225","https://openalex.org/W6838571599","https://openalex.org/W6852771829"],"related_works":["https://openalex.org/W2357124094","https://openalex.org/W2387399993","https://openalex.org/W2389739210","https://openalex.org/W2348924972","https://openalex.org/W2365736347","https://openalex.org/W2047454415","https://openalex.org/W2070040999","https://openalex.org/W2387293848","https://openalex.org/W2250140200","https://openalex.org/W2951720331"],"abstract_inverted_index":{"As":[0],"artificial":[1],"intelligence":[2],"progresses":[3],"in":[4,19,35,215],"the":[5,30,74,98,112,133,148,155,175,181,205],"field":[6],"of":[7,58,93,165,207],"medical":[8],"ultrasound":[9,24,70,86],"image":[10],"analysis,":[11],"mitigating":[12],"catastrophic":[13],"forgetting":[14,57,164,206],"during":[15],"continuous":[16],"learning":[17,124],"processes":[18],"disease":[20,60],"diagnosis":[21,61],"and":[22,117,132,142,188,192],"fetal":[23],"assistance":[25],"is":[26],"crucial.":[27],"Inspired":[28],"by":[29],"significant":[31],"performance":[32],"improvements":[33],"achieved":[34],"various":[36],"downstream":[37],"visual":[38,42],"tasks":[39,122,161],"through":[40],"advanced":[41],"representations,":[43],"we":[44,104],"introduce":[45],"a":[46,79],"novel":[47],"approach":[48,153],"called":[49],"Masked":[50],"Ultrasound":[51,177,184,194],"Image":[52,178,185],"Modeling":[53],"(MUIM)":[54],"to":[55,73,82,101,115,157],"prevent":[56],"new":[59,102,125,145,160],"tasks.":[62],"In":[63],"this":[64],"approach,":[65],"MUIM":[66],"initially":[67],"pre-trains":[68],"on":[69,84,172],"images":[71],"specific":[72],"current":[75],"task.":[76],"By":[77,127],"utilizing":[78],"masked":[80],"autoencoder":[81],"train":[83],"unlabeled":[85],"images,":[87],"it":[88],"learns":[89],"highly":[90],"abstract":[91],"representations":[92],"task-relevant":[94],"information.":[95],"To":[96],"ensure":[97],"model\u2019s":[99,113],"adaptability":[100],"tasks,":[103],"propose":[105],"contrastive":[106],"Historical-Current":[107],"Learning":[108],"strategy,":[109],"which":[110],"enhances":[111],"ability":[114],"retain":[116],"integrate":[118],"knowledge":[119,129,146,210],"from":[120],"previous":[121],"while":[123,162,211],"ones.":[126,167],"incorporating":[128],"distillation":[130],"loss":[131],"exponential":[134],"moving":[135],"average":[136],"(EMA)":[137],"technique":[138],"for":[139],"joint":[140],"inference":[141],"continuously":[143],"updating":[144],"into":[147],"historical":[149],"expert":[150],"model,":[151],"our":[152,189,201],"enables":[154],"model":[156],"adaptively":[158],"learn":[159],"preventing":[163],"old":[166,208],"We":[168],"conducted":[169],"extensive":[170],"experiments":[171],"three":[173],"datasets:":[174],"Breast":[176],"dataset":[179,186],"(BUSI),":[180],"Algeria":[182],"Thyroid":[183],"(AUITD),":[187],"designed":[190],"Obstetrics":[191],"Gynecology":[193],"Dataset":[195],"(USOGD).":[196],"The":[197],"results":[198],"demonstrate":[199],"that":[200],"method":[202],"significantly":[203],"reduces":[204],"task":[209],"outperforming":[212],"state-of-the-art":[213],"methods":[214],"classification":[216],"accuracy.":[217]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}