{"id":"https://openalex.org/W3090453230","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207314","title":"MufiNet: Multiscale Fusion Residual Networks for Medical Image Segmentation","display_name":"MufiNet: Multiscale Fusion Residual Networks for Medical Image Segmentation","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3090453230","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207314","mag":"3090453230"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn48605.2020.9207314","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207314","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 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/A5100367581","display_name":"Chun Wang","orcid":"https://orcid.org/0000-0002-7079-0162"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chun Wang","raw_affiliation_strings":["School of Software Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","School of Software Engineering, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Software Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100376392","display_name":"Zhi Wang","orcid":"https://orcid.org/0000-0002-3252-9254"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Wang","raw_affiliation_strings":["School of Software Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","School of Software Engineering, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Software Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102023022","display_name":"Xi Wei","orcid":"https://orcid.org/0000-0003-4999-028X"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Xi","raw_affiliation_strings":["School of Computer Science & Technology, Xi\u2019an Jiaotong University, Xi\u2019an, China","School of Computer Science & Technology, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science & Technology, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Computer Science & Technology, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhao Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao Yang","raw_affiliation_strings":["School of Computer Science & Technology, Xi\u2019an Jiaotong University, Xi\u2019an, China","School of Computer Science & Technology, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science & Technology, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Computer Science & Technology, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024580488","display_name":"Gairui Bai","orcid":"https://orcid.org/0000-0003-0012-5068"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gairui Bai","raw_affiliation_strings":["School of Computer Science & Technology, Xi\u2019an Jiaotong University, Xi\u2019an, China","School of Computer Science & Technology, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science & Technology, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Computer Science & Technology, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038724132","display_name":"Ruimeng Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ruimeng Wang","raw_affiliation_strings":["School of Photovoltaics & Renewable Energy, The University of New South Wales, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"School of Photovoltaics & Renewable Energy, The University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006930322","display_name":"Meichen Duan","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meichen Duan","raw_affiliation_strings":["School of Computer Science & Technology, Xi\u2019an Jiaotong University, Xi\u2019an, China","School of Computer Science & Technology, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science & Technology, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Computer Science & Technology, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100367581"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":0.4078,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.7025537,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9997000098228455,"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":0.9997000098228455,"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/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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9986000061035156,"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/computer-science","display_name":"Computer science","score":0.763831615447998},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6980573534965515},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6584082841873169},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6531167030334473},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.597858726978302},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5123685598373413},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5021712779998779},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4671822190284729},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.46527597308158875},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.44621896743774414},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4233900308609009},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4144648313522339},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4129836857318878},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3427416682243347},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.12845811247825623}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.763831615447998},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6980573534965515},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6584082841873169},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6531167030334473},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.597858726978302},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5123685598373413},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5021712779998779},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4671822190284729},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.46527597308158875},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.44621896743774414},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4233900308609009},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4144648313522339},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4129836857318878},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3427416682243347},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.12845811247825623},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn48605.2020.9207314","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207314","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5699999928474426,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1799366690","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2097117768","https://openalex.org/W2109255472","https://openalex.org/W2111868822","https://openalex.org/W2412782625","https://openalex.org/W2559597482","https://openalex.org/W2560023338","https://openalex.org/W2563705555","https://openalex.org/W2592929672","https://openalex.org/W2788906943","https://openalex.org/W2798122215","https://openalex.org/W2896194744","https://openalex.org/W2963727650","https://openalex.org/W2963881378","https://openalex.org/W2964309882","https://openalex.org/W2997806675","https://openalex.org/W4294226146","https://openalex.org/W6638444622","https://openalex.org/W6639824700","https://openalex.org/W6748481559","https://openalex.org/W6748775820","https://openalex.org/W6750469568","https://openalex.org/W6755808572","https://openalex.org/W6767923612"],"related_works":["https://openalex.org/W1669643531","https://openalex.org/W1967061043","https://openalex.org/W2549936415","https://openalex.org/W2384989255","https://openalex.org/W2566648451","https://openalex.org/W1982826852","https://openalex.org/W2517104666","https://openalex.org/W134976887","https://openalex.org/W2274529912","https://openalex.org/W2021143974"],"abstract_inverted_index":{"U-Net":[0,21,37,92,165],"has":[1],"been":[2],"considered":[3],"as":[4],"an":[5],"outstanding":[6],"deep":[7],"learning":[8],"neural":[9],"network":[10],"in":[11,45,126,159],"medical":[12,160],"image":[13,161],"segmentation":[14,17,33,134,162],"problems.":[15],"The":[16,58,82,149],"results":[18,151],"of":[19,61,79,114],"the":[20,51,69,74,77,80,91,102,110,115],"based":[22],"model,":[23],"however,":[24],"are":[25],"always":[26],"too":[27],"conservative":[28],"and":[29,101,112,135,140,166],"smooth.":[30],"MufiNet,":[31],"a":[32,147],"model":[34,119],"using":[35],"multiple":[36,40],"chains":[38],"(with":[39],"encoder-decoder":[41],"branches),":[42],"is":[43,65,88,106,120],"proposed":[44],"this":[46,127],"paper.":[47],"It":[48],"can":[49],"fuse":[50],"receptive":[52],"fields":[53],"obtained":[54],"from":[55],"different":[56],"scales.":[57],"convolution":[59],"layer":[60],"1":[62,64],"\u00d7":[63],"introduced":[66],"to":[67,72,76,95,108],"add":[68],"residual":[70],"connection":[71],"enhance":[73],"adaptability":[75],"depth":[78],"network.":[81,117],"multi-scale":[83,103],"fusion":[84],"module":[85],"with":[86,90,146],"residuals":[87],"combined":[89],"chain":[93],"architecture":[94],"retain":[96],"more":[97],"information":[98,105],"flow":[99],"paths,":[100],"context":[104],"used":[107],"improve":[109],"performance":[111,158],"robustness":[113],"segmented":[116],"MufiNet":[118,154],"extensively":[121],"evaluated":[122],"on":[123],"three":[124],"datasets":[125,132],"paper,":[128],"including":[129],"two":[130],"benchmark":[131],"(lung":[133],"skin":[136],"cancer":[137,142],"lesion":[138],"segmentation)":[139],"cervical":[141],"dataset":[143],"jointly":[144],"constructed":[145],"hospital.":[148],"experimental":[150],"show":[152],"that":[153],"could":[155],"yield":[156],"better":[157],"tasks":[163],"than":[164],"LadderNet":[167],"models.":[168]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}