{"id":"https://openalex.org/W4401749542","doi":"https://doi.org/10.1109/isbi56570.2024.10635283","title":"WaveU3S: A Lightweight Wavelet Dual-Attention Unet for 3D Medical Image Segmentation","display_name":"WaveU3S: A Lightweight Wavelet Dual-Attention Unet for 3D Medical Image Segmentation","publication_year":2024,"publication_date":"2024-05-27","ids":{"openalex":"https://openalex.org/W4401749542","doi":"https://doi.org/10.1109/isbi56570.2024.10635283"},"language":"en","primary_location":{"id":"doi:10.1109/isbi56570.2024.10635283","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi56570.2024.10635283","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5113342659","display_name":"Tianzhao Zhong","orcid":null},"institutions":[{"id":"https://openalex.org/I4210152380","display_name":"Shenzhen Technology University","ror":"https://ror.org/04qzpec27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152380"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianzhao Zhong","raw_affiliation_strings":["Shenzhen Technology University,College of Health Science and Environmental Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Technology University,College of Health Science and Environmental Engineering","institution_ids":["https://openalex.org/I4210152380"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085985501","display_name":"Huaishui Yang","orcid":"https://orcid.org/0009-0001-1656-9336"},"institutions":[{"id":"https://openalex.org/I4210152380","display_name":"Shenzhen Technology University","ror":"https://ror.org/04qzpec27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152380"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaishui Yang","raw_affiliation_strings":["Shenzhen Technology University,College of Health Science and Environmental Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Technology University,College of Health Science and Environmental Engineering","institution_ids":["https://openalex.org/I4210152380"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102956549","display_name":"Jihao Li","orcid":"https://orcid.org/0000-0002-8277-4223"},"institutions":[{"id":"https://openalex.org/I4210152380","display_name":"Shenzhen Technology University","ror":"https://ror.org/04qzpec27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152380"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jihao Li","raw_affiliation_strings":["Shenzhen Technology University,College of Health Science and Environmental Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Technology University,College of Health Science and Environmental Engineering","institution_ids":["https://openalex.org/I4210152380"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008625474","display_name":"Mengye Lyu","orcid":"https://orcid.org/0000-0001-5548-8136"},"institutions":[{"id":"https://openalex.org/I4210152380","display_name":"Shenzhen Technology University","ror":"https://ror.org/04qzpec27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152380"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengye Lyu","raw_affiliation_strings":["Shenzhen Technology University,College of Health Science and Environmental Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Technology University,College of Health Science and Environmental Engineering","institution_ids":["https://openalex.org/I4210152380"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100616225","display_name":"Shaojun Liu","orcid":"https://orcid.org/0000-0002-9201-9301"},"institutions":[{"id":"https://openalex.org/I4210152380","display_name":"Shenzhen Technology University","ror":"https://ror.org/04qzpec27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152380"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaojun Liu","raw_affiliation_strings":["Shenzhen Technology University,College of Health Science and Environmental Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Technology University,College of Health Science and Environmental Engineering","institution_ids":["https://openalex.org/I4210152380"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210152380"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"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":0.9771000146865845,"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":0.9771000146865845,"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":0.9243999719619751,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9200999736785889,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6984708309173584},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.686702311038971},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6755384802818298},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.671322226524353},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6347496509552002},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5840765833854675},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5338184833526611},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4223724603652954},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41845834255218506}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6984708309173584},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.686702311038971},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6755384802818298},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.671322226524353},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6347496509552002},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5840765833854675},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5338184833526611},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4223724603652954},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41845834255218506},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi56570.2024.10635283","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi56570.2024.10635283","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2798122215","https://openalex.org/W2804047627","https://openalex.org/W2915126261","https://openalex.org/W3014974815","https://openalex.org/W3090605478","https://openalex.org/W3094502228","https://openalex.org/W3112701542","https://openalex.org/W3183302989","https://openalex.org/W3198035652","https://openalex.org/W3204255739","https://openalex.org/W3204614423","https://openalex.org/W4212875960","https://openalex.org/W4281489883","https://openalex.org/W4303649515","https://openalex.org/W4312832682","https://openalex.org/W4317639942","https://openalex.org/W4372260325","https://openalex.org/W4385825439","https://openalex.org/W4386350464","https://openalex.org/W4386352660","https://openalex.org/W4396783545","https://openalex.org/W6750469568","https://openalex.org/W6759274242","https://openalex.org/W6784333009","https://openalex.org/W6801350836","https://openalex.org/W6810465815","https://openalex.org/W6838271186","https://openalex.org/W6855906683","https://openalex.org/W6856552896"],"related_works":["https://openalex.org/W2382174632","https://openalex.org/W2129959498","https://openalex.org/W2784060934","https://openalex.org/W2902714807","https://openalex.org/W2537489131","https://openalex.org/W2394084632","https://openalex.org/W2358293514","https://openalex.org/W2046633342","https://openalex.org/W1522196789","https://openalex.org/W2352553236"],"abstract_inverted_index":{"Medical":[0],"image":[1,9,46],"segmentation":[2,70,120],"is":[3,20,26],"a":[4,62,123],"key":[5],"step":[6],"in":[7],"medical":[8,45,69],"analysis.":[10],"Compared":[11],"with":[12,53,79],"the":[13,17,23,30,48,54,86,99,104,114],"convolutional":[14],"network":[15],"where":[16],"receptive":[18],"field":[19],"usually":[21],"limited,":[22],"transformer":[24],"model":[25,65],"able":[27],"to":[28,91],"extract":[29],"long-range":[31],"dependencies":[32],"between":[33],"various":[34],"locations":[35],"and":[36,75,109],"thus":[37],"suitable":[38],"for":[39,43,67],"this":[40,58],"task.":[41],"However,":[42],"3D":[44,68,76,83],"segmentation,":[47],"computation":[49,100],"cost":[50],"increases":[51],"dramatically":[52],"spatial":[55,93],"resolution.":[56],"In":[57],"paper,":[59],"we":[60],"propose":[61],"lightweight":[63],"hybrid":[64],"(WaveU3S)":[66],"based":[71],"on":[72,107],"Unet":[73],"framework":[74],"wavelet":[77,84],"transform":[78],"dual":[80],"attention.":[81],"With":[82],"transform,":[85],"input":[87],"features":[88],"are":[89],"compressed":[90],"half":[92],"resolution":[94],"without":[95],"losing":[96],"information,":[97],"reducing":[98],"burden":[101],"while":[102],"maintaining":[103],"performance.":[105],"Experiments":[106],"FLARE22":[108],"ACDC":[110],"datasets":[111],"demonstrate":[112],"that":[113],"proposed":[115],"method":[116],"can":[117],"produce":[118],"satisfied":[119],"result":[121],"at":[122],"low":[124],"cost.":[125]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
