{"id":"https://openalex.org/W4402352240","doi":"https://doi.org/10.1109/ijcnn60899.2024.10651319","title":"An Effective Dual-Scale Hybrid Encoder Network for Medical Image Segmentation","display_name":"An Effective Dual-Scale Hybrid Encoder Network for Medical Image Segmentation","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402352240","doi":"https://doi.org/10.1109/ijcnn60899.2024.10651319"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10651319","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10651319","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","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/A5101408416","display_name":"Chengzhang Zhu","orcid":"https://orcid.org/0000-0001-8825-0992"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chengzhang Zhu","raw_affiliation_strings":["Central South University,School of Computer Science and Engineering,Changsha,China"],"affiliations":[{"raw_affiliation_string":"Central South University,School of Computer Science and Engineering,Changsha,China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113087524","display_name":"Renmao Zhang","orcid":"https://orcid.org/0009-0008-6841-8813"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Renmao Zhang","raw_affiliation_strings":["Central South University,School of Computer Science and Engineering,Changsha,China"],"affiliations":[{"raw_affiliation_string":"Central South University,School of Computer Science and Engineering,Changsha,China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064250885","display_name":"Yalong Xiao","orcid":"https://orcid.org/0000-0002-2573-4604"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yalong Xiao","raw_affiliation_strings":["Central South University,School of Computer Science and Engineering,Changsha,China"],"affiliations":[{"raw_affiliation_string":"Central South University,School of Computer Science and Engineering,Changsha,China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062015169","display_name":"Beiji Zou","orcid":"https://orcid.org/0000-0002-3542-1097"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Beiji Zou","raw_affiliation_strings":["Central South University,School of Computer Science and Engineering,Changsha,China"],"affiliations":[{"raw_affiliation_string":"Central South University,School of Computer Science and Engineering,Changsha,China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064140155","display_name":"Xian Chai","orcid":"https://orcid.org/0009-0009-7029-2786"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xian Chai","raw_affiliation_strings":["Central South University,School of Computer Science and Engineering,Changsha,China"],"affiliations":[{"raw_affiliation_string":"Central South University,School of Computer Science and Engineering,Changsha,China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101297119","display_name":"Zhangzheng Yang","orcid":"https://orcid.org/0009-0009-4872-9718"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhangzheng Yang","raw_affiliation_strings":["Central South University,School of Computer Science and Engineering,Changsha,China"],"affiliations":[{"raw_affiliation_string":"Central South University,School of Computer Science and Engineering,Changsha,China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Lan Hua","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]},{"id":"https://openalex.org/I4210153856","display_name":"Second Xiangya Hospital of Central South University","ror":"https://ror.org/053v2gh09","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210153856"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lan Hua","raw_affiliation_strings":["The Second Xiangya Hospital of Central South University,Changsha,China"],"affiliations":[{"raw_affiliation_string":"The Second Xiangya Hospital of Central South University,Changsha,China","institution_ids":["https://openalex.org/I4210153856","https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101676861","display_name":"Xuanchu Duan","orcid":"https://orcid.org/0000-0003-1101-0602"},"institutions":[{"id":"https://openalex.org/I4210154929","display_name":"He Eye Hospital","ror":"https://ror.org/04fnhr972","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210154929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuanchu Duan","raw_affiliation_strings":["Changsha Aier Eye Hospital,Changsha,China"],"affiliations":[{"raw_affiliation_string":"Changsha Aier Eye Hospital,Changsha,China","institution_ids":["https://openalex.org/I4210154929"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5101408416"],"corresponding_institution_ids":["https://openalex.org/I139660479"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13816167,"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":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9993000030517578,"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":0.9983000159263611,"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/computer-science","display_name":"Computer science","score":0.6864336729049683},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6363579630851746},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.632314920425415},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6183233857154846},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5636221170425415},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5253507494926453},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49764326214790344},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4854503273963928},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4422212839126587},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33121925592422485},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.062103986740112305}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6864336729049683},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6363579630851746},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.632314920425415},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6183233857154846},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5636221170425415},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5253507494926453},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49764326214790344},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4854503273963928},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4422212839126587},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33121925592422485},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.062103986740112305},{"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},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10651319","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10651319","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","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},{"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":33,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2288892845","https://openalex.org/W2592905743","https://openalex.org/W2798122215","https://openalex.org/W2921406441","https://openalex.org/W2928133111","https://openalex.org/W2962914239","https://openalex.org/W2981994674","https://openalex.org/W2999580839","https://openalex.org/W3034552520","https://openalex.org/W3096609285","https://openalex.org/W3098656187","https://openalex.org/W3119337483","https://openalex.org/W3127751679","https://openalex.org/W3138516171","https://openalex.org/W3168491317","https://openalex.org/W3170841864","https://openalex.org/W3180624251","https://openalex.org/W3197957534","https://openalex.org/W3203480968","https://openalex.org/W3212933375","https://openalex.org/W4212875960","https://openalex.org/W4291280485","https://openalex.org/W4311778824","https://openalex.org/W4319216049","https://openalex.org/W4320085508","https://openalex.org/W4321232185","https://openalex.org/W4362602094","https://openalex.org/W4385245566","https://openalex.org/W6753182481","https://openalex.org/W6787967560","https://openalex.org/W6849541326"],"related_works":["https://openalex.org/W4390516098","https://openalex.org/W2181948922","https://openalex.org/W2384362569","https://openalex.org/W2142795561","https://openalex.org/W4205302943","https://openalex.org/W2561132942","https://openalex.org/W3155418658","https://openalex.org/W4243199227","https://openalex.org/W1522196789","https://openalex.org/W2352553236"],"abstract_inverted_index":{"Medical":[0],"image":[1,58,212],"segmentation\u2019s":[2],"accuracy":[3],"is":[4,63,179],"crucial":[5,22],"for":[6,23,56],"clinical":[7],"analysis":[8],"and":[9,28,101,198,214,226],"diagnosis.":[10],"Despite":[11],"progress":[12],"with":[13,85,135,166],"U-Net-inspired":[14],"models,":[15],"they":[16],"often":[17],"underuse":[18],"multi-scale":[19,34],"encoding":[20,107],"layers":[21],"enhancing":[24,199],"detailing":[25],"visual":[26],"features":[27,35,104],"overlooking":[29],"the":[30,37,66,78,86,95,106,112,123,136,143,148,162,167,192,215],"importance":[31],"of":[32,69,83,89,98,191],"merging":[33],"within":[36,122],"channel":[38,117],"dimension":[39],"to":[40,228,237],"enhance":[41,111],"decoder":[42,138],"complexity.":[43],"To":[44,146],"address":[45],"these":[46],"limitations,":[47],"we":[48,151],"introduce":[49],"a":[50,116,153,171,183,188],"dual-scale":[51,70,130,158],"hybrid":[52],"encoder":[53,75,164],"network":[54,61],"DSENet":[55,204],"medical":[57,211],"segmentation.":[59],"Our":[60,202],"design":[62],"characterized":[64],"by":[65,114,182],"strategic":[67],"employment":[68],"convolutional":[71],"kernels":[72],"at":[73],"each":[74],"level,":[76],"integrating":[77,115,133],"robust":[79],"feature":[80,139,144,159,177],"extraction":[81],"capabilities":[82],"CNNs":[84],"contextual":[87],"awareness":[88],"Transformer":[90,185],"models.":[91],"This":[92,126],"synergy":[93],"enables":[94],"precise":[96],"capture":[97],"both":[99],"granular":[100],"broader":[102],"context":[103],"throughout":[105],"phase.":[108],"We":[109],"further":[110],"model":[113],"attention":[118],"fusion":[119,176],"(CAF)":[120],"mechanism":[121],"skip":[124],"connections.":[125],"innovation":[127],"effectively":[128],"integrates":[129],"features,":[131],"subsequently":[132],"them":[134],"same-level":[137],"map,":[140],"thereby":[141],"reinforcing":[142],"representation.":[145],"refine":[147],"predicted":[149],"segmentation,":[150,231],"employ":[152],"novel":[154],"strategy":[155],"that":[156,219],"merges":[157],"maps":[160],"from":[161],"initial":[163],"stage":[165],"segmentation":[168,193,200,224],"map":[169,178],"through":[170],"cascade":[172],"operation.":[173],"The":[174],"output":[175],"then":[180],"processed":[181],"self-attention":[184],"structure,":[186],"ensuring":[187],"meticulous":[189],"refinement":[190],"output,":[194],"preserving":[195],"essential":[196],"details,":[197],"accuracy.":[201],"proposed":[203],"has":[205],"been":[206],"evaluated":[207],"on":[208],"three":[209],"distinct":[210],"datasets,":[213],"experimental":[216],"results":[217],"demonstrate":[218],"it":[220,233],"achieves":[221],"more":[222,234],"accurate":[223],"performance":[225],"adaptability":[227],"varying":[229],"target":[230],"making":[232],"competitive":[235],"compared":[236],"existing":[238],"SOTA":[239],"methods.":[240]},"counts_by_year":[],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}