{"id":"https://openalex.org/W7126075207","doi":"https://doi.org/10.1109/bibm66473.2025.11356169","title":"Lifting Wavelet Transform-Based Network for Liver Segmentation in CT Scans","display_name":"Lifting Wavelet Transform-Based Network for Liver Segmentation in CT Scans","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W7126075207","doi":"https://doi.org/10.1109/bibm66473.2025.11356169"},"language":null,"primary_location":{"id":"doi:10.1109/bibm66473.2025.11356169","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356169","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 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/A5100700356","display_name":"Jun Liu","orcid":"https://orcid.org/0000-0002-8943-079X"},"institutions":[{"id":"https://openalex.org/I82760581","display_name":"Taizhou University","ror":"https://ror.org/04fzhyx73","country_code":"CN","type":"education","lineage":["https://openalex.org/I82760581"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huaxiang Liu","raw_affiliation_strings":["School of Artificial Intelligence, Taizhou University,Taizhou,China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Taizhou University,Taizhou,China","institution_ids":["https://openalex.org/I82760581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124164335","display_name":"Wei Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I82760581","display_name":"Taizhou University","ror":"https://ror.org/04fzhyx73","country_code":"CN","type":"education","lineage":["https://openalex.org/I82760581"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Sun","raw_affiliation_strings":["School of Artificial Intelligence, Taizhou University,Taizhou,China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Taizhou University,Taizhou,China","institution_ids":["https://openalex.org/I82760581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109753975","display_name":"Baicheng Qu","orcid":null},"institutions":[{"id":"https://openalex.org/I82760581","display_name":"Taizhou University","ror":"https://ror.org/04fzhyx73","country_code":"CN","type":"education","lineage":["https://openalex.org/I82760581"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baicheng Qu","raw_affiliation_strings":["School of Artificial Intelligence, Taizhou University,Taizhou,China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Taizhou University,Taizhou,China","institution_ids":["https://openalex.org/I82760581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051541605","display_name":"Youyao Fu","orcid":"https://orcid.org/0000-0001-6528-4807"},"institutions":[{"id":"https://openalex.org/I82760581","display_name":"Taizhou University","ror":"https://ror.org/04fzhyx73","country_code":"CN","type":"education","lineage":["https://openalex.org/I82760581"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Youyao Fu","raw_affiliation_strings":["School of Artificial Intelligence, Taizhou University,Taizhou,China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Taizhou University,Taizhou,China","institution_ids":["https://openalex.org/I82760581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100452825","display_name":"Shu Zhang","orcid":"https://orcid.org/0000-0001-5011-8566"},"institutions":[{"id":"https://openalex.org/I82760581","display_name":"Taizhou University","ror":"https://ror.org/04fzhyx73","country_code":"CN","type":"education","lineage":["https://openalex.org/I82760581"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiqing Zhang","raw_affiliation_strings":["School of Artificial Intelligence, Taizhou University,Taizhou,China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Taizhou University,Taizhou,China","institution_ids":["https://openalex.org/I82760581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016850034","display_name":"Wenbin Ji","orcid":"https://orcid.org/0000-0002-1609-8925"},"institutions":[{"id":"https://openalex.org/I27781120","display_name":"Wenzhou Medical University","ror":"https://ror.org/00rd5t069","country_code":"CN","type":"education","lineage":["https://openalex.org/I27781120"]},{"id":"https://openalex.org/I4210158774","display_name":"Zhejiang Taizhou Hospital","ror":"https://ror.org/05m0wv206","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210158774","https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbin Ji","raw_affiliation_strings":["Taizhou Hospital of Zhejiang Province,Taizhou,China"],"affiliations":[{"raw_affiliation_string":"Taizhou Hospital of Zhejiang Province,Taizhou,China","institution_ids":["https://openalex.org/I27781120","https://openalex.org/I4210158774"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111762857","display_name":"Jiangxiong Fang","orcid":null},"institutions":[{"id":"https://openalex.org/I27781120","display_name":"Wenzhou Medical University","ror":"https://ror.org/00rd5t069","country_code":"CN","type":"education","lineage":["https://openalex.org/I27781120"]},{"id":"https://openalex.org/I4210158774","display_name":"Zhejiang Taizhou Hospital","ror":"https://ror.org/05m0wv206","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210158774","https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangxiong Fang","raw_affiliation_strings":["Taizhou Hospital of Zhejiang Province,Taizhou,China"],"affiliations":[{"raw_affiliation_string":"Taizhou Hospital of Zhejiang Province,Taizhou,China","institution_ids":["https://openalex.org/I27781120","https://openalex.org/I4210158774"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100700356"],"corresponding_institution_ids":["https://openalex.org/I82760581"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.7239589,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"7005","last_page":"7011"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.41920000314712524,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.41920000314712524,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.1420000046491623,"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/T10862","display_name":"AI in cancer detection","score":0.125900000333786,"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/segmentation","display_name":"Segmentation","score":0.7791000008583069},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.7001000046730042},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47450000047683716},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.47429999709129333},{"id":"https://openalex.org/keywords/dice","display_name":"Dice","score":0.391400009393692},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.3635999858379364}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7791000008583069},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7013999819755554},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.7001000046730042},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6917999982833862},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4758000075817108},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47450000047683716},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.47429999709129333},{"id":"https://openalex.org/C22029948","wikidata":"https://www.wikidata.org/wiki/Q45089","display_name":"Dice","level":2,"score":0.391400009393692},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.3635999858379364},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.32899999618530273},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3280999958515167},{"id":"https://openalex.org/C199550912","wikidata":"https://www.wikidata.org/wiki/Q3238415","display_name":"Lifting scheme","level":5,"score":0.30820000171661377},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.2897000014781952},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.2851000130176544},{"id":"https://openalex.org/C2779370443","wikidata":"https://www.wikidata.org/wiki/Q1776627","display_name":"Surgical planning","level":2,"score":0.27619999647140503}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm66473.2025.11356169","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356169","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2006447203","https://openalex.org/W2884436604","https://openalex.org/W2910094941","https://openalex.org/W2955058313","https://openalex.org/W3014974815","https://openalex.org/W3094777611","https://openalex.org/W3204166336","https://openalex.org/W3204614423","https://openalex.org/W4285606134","https://openalex.org/W4290265639","https://openalex.org/W4290466595","https://openalex.org/W4295934721","https://openalex.org/W4298152023","https://openalex.org/W4310019130","https://openalex.org/W4312568229","https://openalex.org/W4376155299","https://openalex.org/W4380052967","https://openalex.org/W4385245566","https://openalex.org/W4387211614","https://openalex.org/W4394611488","https://openalex.org/W4402557792","https://openalex.org/W4403067066","https://openalex.org/W4406069332"],"related_works":[],"abstract_inverted_index":{"Liver":[0],"segmentation":[1,46,93],"plays":[2],"a":[3,38,59,110],"crucial":[4],"role":[5],"in":[6,47],"the":[7,55,70,74,79,85,100,113],"diagnosis":[8],"and":[9,26,131,145],"surgical":[10],"planning":[11],"of":[12,18,81,143],"hepatocellular":[13],"carcinoma.":[14],"However,":[15],"manual":[16],"delineation":[17],"liver":[19,45],"contours":[20],"by":[21,109],"radiologists":[22],"is":[23],"time-consuming,":[24],"error-prone,":[25],"highly":[27],"dependent":[28],"on":[29,126,160],"individual":[30],"expertise.":[31],"To":[32],"address":[33],"these":[34],"challenges,":[35],"we":[36],"propose":[37],"Lifting":[39],"Wavelet":[40],"Transform-based":[41],"Network":[42],"(LWT-Net)":[43],"for":[44],"CT":[48],"scans.":[49],"Built":[50],"upon":[51],"an":[52],"encoder-decoder":[53],"architecture,":[54],"proposed":[56],"model":[57],"incorporates":[58],"lifting":[60],"wavelet":[61,102],"transform":[62],"module":[63],"to":[64,97,119],"perform":[65],"multi-scale":[66,101],"frequency-domain":[67],"features.":[68],"Specifically,":[69],"low-frequency":[71],"components":[72,87],"capture":[73,120],"global":[75,105],"structural":[76],"information,":[77],"facilitating":[78],"modeling":[80],"contextual":[82,106],"semantics,":[83],"while":[84],"high-frequency":[86],"preserve":[88],"finegrained":[89],"details,":[90],"thereby":[91],"enhancing":[92],"accuracy.":[94],"In":[95],"addition,":[96],"effectively":[98],"integrate":[99],"features":[103],"with":[104,139],"representations":[107],"extracted":[108],"CNN-based":[111],"encoder,":[112],"double":[114],"attention":[115],"modules":[116],"are":[117],"applied":[118],"longrange":[121],"spatial":[122],"dependencies.":[123],"Extensive":[124],"experiments":[125],"two":[127],"public":[128],"datasets,":[129],"LiTS2017":[130],"FLARE22,":[132],"demonstrate":[133],"that":[134],"LWT-Net":[135],"achieves":[136],"superior":[137],"performance,":[138],"average":[140],"Dice":[141],"coefficients":[142],"95.75%":[144],"95.97%,":[146],"respectively,":[147],"significantly":[148],"outperforming":[149],"existing":[150],"state-of-the-art":[151],"methods.":[152],"The":[153],"source":[154],"code":[155],"will":[156],"be":[157],"publicly":[158],"available":[159],"GitHub.":[161]},"counts_by_year":[],"updated_date":"2026-02-01T03:34:12.195049","created_date":"2026-01-30T00:00:00"}
