{"id":"https://openalex.org/W4391529877","doi":"https://doi.org/10.1145/3635118.3635126","title":"IDMUNet : An effective network for liver tumor segmentation","display_name":"IDMUNet : An effective network for liver tumor segmentation","publication_year":2023,"publication_date":"2023-11-17","ids":{"openalex":"https://openalex.org/W4391529877","doi":"https://doi.org/10.1145/3635118.3635126"},"language":"en","primary_location":{"id":"doi:10.1145/3635118.3635126","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3635118.3635126","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Advances in Image Processing","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/A5031771930","display_name":"WU Cai-hong","orcid":"https://orcid.org/0009-0002-2528-2780"},"institutions":[{"id":"https://openalex.org/I132586189","display_name":"Zhongyuan University of Technology","ror":"https://ror.org/0360zcg91","country_code":"CN","type":"education","lineage":["https://openalex.org/I132586189"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Caihong Wu","raw_affiliation_strings":["School of mathematics and information science, Zhongyuan University of Technology, China"],"raw_orcid":"https://orcid.org/0009-0002-2528-2780","affiliations":[{"raw_affiliation_string":"School of mathematics and information science, Zhongyuan University of Technology, China","institution_ids":["https://openalex.org/I132586189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075692616","display_name":"Changming Song","orcid":"https://orcid.org/0000-0002-5576-9146"},"institutions":[{"id":"https://openalex.org/I132586189","display_name":"Zhongyuan University of Technology","ror":"https://ror.org/0360zcg91","country_code":"CN","type":"education","lineage":["https://openalex.org/I132586189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changming Song","raw_affiliation_strings":["School of mathematics and information science, Zhongyuan University of Technology, China"],"raw_orcid":"https://orcid.org/0000-0002-5576-9146","affiliations":[{"raw_affiliation_string":"School of mathematics and information science, Zhongyuan University of Technology, China","institution_ids":["https://openalex.org/I132586189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090115824","display_name":"Dongxu Cheng","orcid":"https://orcid.org/0000-0001-8450-1109"},"institutions":[{"id":"https://openalex.org/I132586189","display_name":"Zhongyuan University of Technology","ror":"https://ror.org/0360zcg91","country_code":"CN","type":"education","lineage":["https://openalex.org/I132586189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongxu Cheng","raw_affiliation_strings":["School of mathematics and information science, Zhongyuan University of Technology, China"],"raw_orcid":"https://orcid.org/0000-0001-8450-1109","affiliations":[{"raw_affiliation_string":"School of mathematics and information science, Zhongyuan University of Technology, China","institution_ids":["https://openalex.org/I132586189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106557297","display_name":"Siyv Ren","orcid":"https://orcid.org/0009-0002-8234-7093"},"institutions":[{"id":"https://openalex.org/I132586189","display_name":"Zhongyuan University of Technology","ror":"https://ror.org/0360zcg91","country_code":"CN","type":"education","lineage":["https://openalex.org/I132586189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyv Ren","raw_affiliation_strings":["School of mathematics and information science, Zhongyuan University of Technology, China"],"raw_orcid":"https://orcid.org/0009-0002-8234-7093","affiliations":[{"raw_affiliation_string":"School of mathematics and information science, Zhongyuan University of Technology, China","institution_ids":["https://openalex.org/I132586189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042992283","display_name":"Zenghui Li","orcid":"https://orcid.org/0009-0007-7959-3513"},"institutions":[{"id":"https://openalex.org/I132586189","display_name":"Zhongyuan University of Technology","ror":"https://ror.org/0360zcg91","country_code":"CN","type":"education","lineage":["https://openalex.org/I132586189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zenghui Li","raw_affiliation_strings":["School of mathematics and information science, Zhongyuan University of Technology, China"],"raw_orcid":"https://orcid.org/0009-0007-7959-3513","affiliations":[{"raw_affiliation_string":"School of mathematics and information science, Zhongyuan University of Technology, China","institution_ids":["https://openalex.org/I132586189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052725726","display_name":"K. Chen","orcid":"https://orcid.org/0009-0006-9199-6473"},"institutions":[{"id":"https://openalex.org/I132586189","display_name":"Zhongyuan University of Technology","ror":"https://ror.org/0360zcg91","country_code":"CN","type":"education","lineage":["https://openalex.org/I132586189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kang Chen","raw_affiliation_strings":["School of mathematics and information science, Zhongyuan University of Technology, China"],"raw_orcid":"https://orcid.org/0009-0006-9199-6473","affiliations":[{"raw_affiliation_string":"School of mathematics and information science, Zhongyuan University of Technology, China","institution_ids":["https://openalex.org/I132586189"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053750791","display_name":"Hao Li","orcid":"https://orcid.org/0009-0004-7013-663X"},"institutions":[{"id":"https://openalex.org/I132586189","display_name":"Zhongyuan University of Technology","ror":"https://ror.org/0360zcg91","country_code":"CN","type":"education","lineage":["https://openalex.org/I132586189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Li","raw_affiliation_strings":["School of mathematics and information science, Zhongyuan University of Technology, China"],"raw_orcid":"https://orcid.org/0009-0004-7013-663X","affiliations":[{"raw_affiliation_string":"School of mathematics and information science, Zhongyuan University of Technology, China","institution_ids":["https://openalex.org/I132586189"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5031771930"],"corresponding_institution_ids":["https://openalex.org/I132586189"],"apc_list":null,"apc_paid":null,"fwci":0.1704,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60426201,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"49","last_page":"56"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.994700014591217,"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/T10862","display_name":"AI in cancer detection","score":0.994700014591217,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.994700014591217,"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"}},{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9898999929428101,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6723865270614624},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4273589253425598},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33607035875320435}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6723865270614624},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4273589253425598},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33607035875320435}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3635118.3635126","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3635118.3635126","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Advances in Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2194775991","https://openalex.org/W2330159957","https://openalex.org/W2799213142","https://openalex.org/W2888358068","https://openalex.org/W2899279931","https://openalex.org/W2910385570","https://openalex.org/W2979983945","https://openalex.org/W3017466405","https://openalex.org/W3018729085","https://openalex.org/W3024640380","https://openalex.org/W3030515889","https://openalex.org/W3080698448","https://openalex.org/W3119454574","https://openalex.org/W3129430687","https://openalex.org/W3129695999","https://openalex.org/W4200006139","https://openalex.org/W4212824114","https://openalex.org/W4213089887","https://openalex.org/W4232184338","https://openalex.org/W4236345650","https://openalex.org/W4281839015","https://openalex.org/W4293153374","https://openalex.org/W4298129609","https://openalex.org/W4310595042","https://openalex.org/W4319338837","https://openalex.org/W6753182481","https://openalex.org/W6753412334","https://openalex.org/W6799772243"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W2350741829","https://openalex.org/W2530322880","https://openalex.org/W1596801655"],"abstract_inverted_index":{"Most":[0],"existing":[1],"approaches":[2],"for":[3,58],"medical":[4],"image":[5],"segmentation":[6,33,61],"has":[7],"been":[8],"proposed,":[9],"but":[10,128],"they":[11],"can't":[12],"get":[13],"desirable":[14],"result":[15],"due":[16],"to":[17,36,72,76,106,136,147,151],"the":[18,30,74,85,93,149,157,165,168,172,178],"network.":[19],"The":[20],"classical":[21],"network":[22,55,66,75,150],"lose":[23],"much":[24],"information":[25,69],"during":[26],"downsampling":[27],"process.":[28],"And":[29],"medica":[31],"images":[32],"is":[34,145],"easy":[35],"be":[37],"contaminated":[38],"by":[39],"heavy":[40],"noise,":[41],"poor":[42],"boundaries":[43],"and":[44,80,112,125,171],"so":[45],"on.":[46],"To":[47],"address":[48],"these":[49],"issues,":[50],"we":[51],"propose":[52],"an":[53,68],"effective":[54,121],"named":[56],"IDMUNet,":[57],"liver":[59,159],"tumor":[60,160],"in":[62,123],"CT":[63],"images,":[64],"This":[65],"introduces":[67],"supplement(IS)":[70],"module":[71,105,144],"guide":[73],"efficiently":[77],"fuse":[78],"global":[79],"local":[81],"information.":[82,133],"After":[83],"that,":[84],"features":[86,109,122],"obtained":[87],"from":[88],"each":[89],"encoding":[90],"layer":[91],"of":[92,167,174],"encoder":[94],"are":[95],"fed":[96],"into":[97],"a":[98,141],"dense":[99],"attention-based":[100],"atrous":[101],"spatial":[102,113,126],"pyramid":[103],"pooling(DAASPP)":[104],"further":[107],"extract":[108],"on":[110,156],"channel":[111,124],"domains,":[114],"thus":[115],"it":[116],"can":[117],"not":[118],"only":[119],"obtain":[120,137],"dimensions,":[127],"also":[129],"suppress":[130],"irrelevant":[131],"weight":[132],"What's":[134],"more,":[135],"better":[138,153],"edge":[139],"information,":[140],"multi-task":[142],"learning(MTL)":[143],"introduced":[146],"enable":[148],"achieve":[152],"performance.":[154],"Experiments":[155],"public":[158],"dataset,":[161],"LiTS2017,":[162],"demonstrate":[163],"that":[164],"effectiveness":[166],"proposed":[169],"IDMUNet":[170],"superiority":[173],"our":[175],"method":[176],"against":[177],"SOTA":[179],"methods.":[180]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}