{"id":"https://openalex.org/W4408352506","doi":"https://doi.org/10.1109/icassp49660.2025.10888667","title":"AP-Net: Semi-Supervised Ultrasound Cardiac Segmentation Using Enhanced Anatomical Prior","display_name":"AP-Net: Semi-Supervised Ultrasound Cardiac Segmentation Using Enhanced Anatomical Prior","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408352506","doi":"https://doi.org/10.1109/icassp49660.2025.10888667"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10888667","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888667","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 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/A5102792077","display_name":"Yuhuan Lu","orcid":"https://orcid.org/0000-0002-9141-3032"},"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":"Yuhuan Lu","raw_affiliation_strings":["CSEE Hunan University,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CSEE Hunan University,Changsha,China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000558130","display_name":"Jintang Li","orcid":"https://orcid.org/0000-0003-1745-2006"},"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":"Jintang Li","raw_affiliation_strings":["CSEE Hunan University,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CSEE Hunan University,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":["CSEE Hunan University,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CSEE Hunan University,Changsha,China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040527192","display_name":"Ying Yuan","orcid":"https://orcid.org/0000-0002-3922-9553"},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Yuan","raw_affiliation_strings":["SZMCH Southern Medical University,Guangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SZMCH Southern Medical University,Guangzhou,China","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026076885","display_name":"Jagath C. Rajapakse","orcid":"https://orcid.org/0000-0001-7944-1658"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Jagath C. Rajapakse","raw_affiliation_strings":["CCDS Nanyang Technological University,Singapore,Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CCDS Nanyang Technological University,Singapore,Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"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,Research Institute in Chongqing,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan University,Research Institute in Chongqing,Changsha,China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036981718","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"]},{"id":"https://openalex.org/I4210119234","display_name":"Xiangyang Central Hospital","ror":"https://ror.org/02dx2xm20","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210119234"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunlian Wang","raw_affiliation_strings":["Hunan University,Xiangtan Central Hospital,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan University,Xiangtan Central Hospital,Changsha,China","institution_ids":["https://openalex.org/I4210119234","https://openalex.org/I16609230"]}]},{"author_position":"last","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":["CSEE Hunan University,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CSEE Hunan University,Changsha,China","institution_ids":["https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02916408,"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":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.6694999933242798,"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":0.6694999933242798,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.6509000062942505,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10372","display_name":"Cardiac Imaging and Diagnostics","score":0.6039999723434448,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/segmentation","display_name":"Segmentation","score":0.614986002445221},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5384718179702759},{"id":"https://openalex.org/keywords/cardiac-ultrasound","display_name":"Cardiac Ultrasound","score":0.5045338869094849},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49679186940193176},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4882981777191162},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.45705223083496094},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3903855085372925},{"id":"https://openalex.org/keywords/biomedical-engineering","display_name":"Biomedical engineering","score":0.3686245083808899},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32191407680511475},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2479410171508789},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.23948344588279724}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.614986002445221},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5384718179702759},{"id":"https://openalex.org/C2910830941","wikidata":"https://www.wikidata.org/wiki/Q216933","display_name":"Cardiac Ultrasound","level":3,"score":0.5045338869094849},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49679186940193176},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4882981777191162},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.45705223083496094},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3903855085372925},{"id":"https://openalex.org/C136229726","wikidata":"https://www.wikidata.org/wiki/Q327092","display_name":"Biomedical engineering","level":1,"score":0.3686245083808899},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32191407680511475},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2479410171508789},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.23948344588279724}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10888667","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888667","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2073389244","https://openalex.org/W2140405352","https://openalex.org/W2158914083","https://openalex.org/W2187887962","https://openalex.org/W2555486686","https://openalex.org/W2790386618","https://openalex.org/W2908698261","https://openalex.org/W2962731543","https://openalex.org/W2963150697","https://openalex.org/W2964241181","https://openalex.org/W2991979976","https://openalex.org/W3016889634","https://openalex.org/W3017097154","https://openalex.org/W3095034359","https://openalex.org/W3134837903","https://openalex.org/W3136424010","https://openalex.org/W3171488657","https://openalex.org/W3180169285","https://openalex.org/W3183684520","https://openalex.org/W3211490618","https://openalex.org/W3214840804","https://openalex.org/W4282972746","https://openalex.org/W4283217943","https://openalex.org/W4306194578","https://openalex.org/W4312310512","https://openalex.org/W4312578467","https://openalex.org/W4312688875","https://openalex.org/W4319302814","https://openalex.org/W4386071949","https://openalex.org/W4386075981","https://openalex.org/W4387211594","https://openalex.org/W4390561780","https://openalex.org/W4394910401","https://openalex.org/W4400488768","https://openalex.org/W4402727005","https://openalex.org/W4402727392","https://openalex.org/W6869023556"],"related_works":["https://openalex.org/W2351153092","https://openalex.org/W2113810479","https://openalex.org/W4379231730","https://openalex.org/W4389858081","https://openalex.org/W2135477061","https://openalex.org/W2369103431","https://openalex.org/W1522196789","https://openalex.org/W2205550597","https://openalex.org/W2954498276","https://openalex.org/W2106611655"],"abstract_inverted_index":{"Semi-supervised":[0],"segmentation":[1],"is":[2],"gaining":[3],"popularity":[4],"in":[5,12,53],"medical":[6,45],"image":[7],"analysis":[8],"due":[9,65],"to":[10,66,108],"challenges":[11],"data":[13,28],"acquisition":[14],"and":[15,41,63,103,128],"annotation.":[16],"However,":[17],"most":[18],"methods":[19],"focus":[20],"on":[21,115],"generating":[22],"additional":[23],"training":[24],"pairs":[25],"from":[26,72],"unlabeled":[27],"through":[29],"augmentation":[30],"or":[31],"perturbation":[32],"for":[33],"contrastive":[34],"learning,":[35],"often":[36],"overlooking":[37],"the":[38],"unique":[39],"characteristics":[40],"inherent":[42],"priors":[43,52],"of":[44],"images.":[46],"We":[47,89],"identified":[48],"two":[49],"key":[50],"anatomical":[51,95,112],"fetal":[54,118],"cardiac":[55,119],"ultrasound":[56,120],"images:":[57],"(1)":[58],"anatomies":[59],"have":[60],"consistent":[61],"shapes":[62],"locations":[64],"standard":[67],"views":[68],"captured":[69],"by":[70],"sonographers":[71],"fixed":[73],"angles;":[74],"(2)":[75],"category":[76],"pixels":[77],"are":[78],"densely":[79],"clustered,":[80],"with":[81,132],"each":[82,133],"structure":[83],"appearing":[84],"only":[85],"once":[86],"per":[87],"image.":[88],"propose":[90],"AP-Net,":[91],"which":[92],"uses":[93],"an":[94],"prior":[96],"generation":[97],"module,":[98,102],"a":[99,104,116],"prior-feature":[100],"fusion":[101],"category-aware":[105],"cropping":[106],"strategy":[107],"effectively":[109],"leverage":[110],"these":[111],"priors.":[113],"Experiments":[114],"real-world":[117],"dataset":[121],"show":[122],"that":[123],"AP-Net":[124],"outperforms":[125],"classical":[126],"supervised":[127],"leading":[129],"semi-supervised":[130],"methods,":[131],"component":[134],"enhancing":[135],"its":[136],"performance.":[137]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}