{"id":"https://openalex.org/W4312874557","doi":"https://doi.org/10.1109/access.2022.3214309","title":"SEResU-Net for Multimodal Brain Tumor Segmentation","display_name":"SEResU-Net for Multimodal Brain Tumor Segmentation","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4312874557","doi":"https://doi.org/10.1109/access.2022.3214309"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3214309","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3214309","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09917504.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09917504.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102500176","display_name":"Chengdong Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I64852412","display_name":"Sichuan University of Science and Engineering","ror":"https://ror.org/053fzma23","country_code":"CN","type":"education","lineage":["https://openalex.org/I64852412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengdong Yan","raw_affiliation_strings":["School of Automation and Information Engineering, Sichuan University of Science and Engineering, Zigong, China","Artificial Intelligence Key Laboratory of Sichuan Province, Sichuan University of Science and Engineering, Zigong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation and Information Engineering, Sichuan University of Science and Engineering, Zigong, China","institution_ids":["https://openalex.org/I64852412"]},{"raw_affiliation_string":"Artificial Intelligence Key Laboratory of Sichuan Province, Sichuan University of Science and Engineering, Zigong, China","institution_ids":["https://openalex.org/I64852412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067453675","display_name":"Jurong Ding","orcid":"https://orcid.org/0000-0001-6708-5131"},"institutions":[{"id":"https://openalex.org/I64852412","display_name":"Sichuan University of Science and Engineering","ror":"https://ror.org/053fzma23","country_code":"CN","type":"education","lineage":["https://openalex.org/I64852412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jurong Ding","raw_affiliation_strings":["School of Automation and Information Engineering, Sichuan University of Science and Engineering, Zigong, China","Artificial Intelligence Key Laboratory of Sichuan Province, Sichuan University of Science and Engineering, Zigong, China"],"raw_orcid":"https://orcid.org/0000-0001-6708-5131","affiliations":[{"raw_affiliation_string":"School of Automation and Information Engineering, Sichuan University of Science and Engineering, Zigong, China","institution_ids":["https://openalex.org/I64852412"]},{"raw_affiliation_string":"Artificial Intelligence Key Laboratory of Sichuan Province, Sichuan University of Science and Engineering, Zigong, China","institution_ids":["https://openalex.org/I64852412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100323537","display_name":"Hui Zhang","orcid":"https://orcid.org/0000-0003-2189-2194"},"institutions":[{"id":"https://openalex.org/I64852412","display_name":"Sichuan University of Science and Engineering","ror":"https://ror.org/053fzma23","country_code":"CN","type":"education","lineage":["https://openalex.org/I64852412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Zhang","raw_affiliation_strings":["School of Automation and Information Engineering, Sichuan University of Science and Engineering, Zigong, China","Artificial Intelligence Key Laboratory of Sichuan Province, Sichuan University of Science and Engineering, Zigong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation and Information Engineering, Sichuan University of Science and Engineering, Zigong, China","institution_ids":["https://openalex.org/I64852412"]},{"raw_affiliation_string":"Artificial Intelligence Key Laboratory of Sichuan Province, Sichuan University of Science and Engineering, Zigong, China","institution_ids":["https://openalex.org/I64852412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044754755","display_name":"Ke Tong","orcid":"https://orcid.org/0000-0001-6226-1044"},"institutions":[{"id":"https://openalex.org/I64852412","display_name":"Sichuan University of Science and Engineering","ror":"https://ror.org/053fzma23","country_code":"CN","type":"education","lineage":["https://openalex.org/I64852412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Tong","raw_affiliation_strings":["School of Automation and Information Engineering, Sichuan University of Science and Engineering, Zigong, China","Artificial Intelligence Key Laboratory of Sichuan Province, Sichuan University of Science and Engineering, Zigong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation and Information Engineering, Sichuan University of Science and Engineering, Zigong, China","institution_ids":["https://openalex.org/I64852412"]},{"raw_affiliation_string":"Artificial Intelligence Key Laboratory of Sichuan Province, Sichuan University of Science and Engineering, Zigong, China","institution_ids":["https://openalex.org/I64852412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101764115","display_name":"Bo Hua","orcid":"https://orcid.org/0009-0006-8157-2191"},"institutions":[{"id":"https://openalex.org/I64852412","display_name":"Sichuan University of Science and Engineering","ror":"https://ror.org/053fzma23","country_code":"CN","type":"education","lineage":["https://openalex.org/I64852412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Hua","raw_affiliation_strings":["School of Automation and Information Engineering, Sichuan University of Science and Engineering, Zigong, China","Artificial Intelligence Key Laboratory of Sichuan Province, Sichuan University of Science and Engineering, Zigong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation and Information Engineering, Sichuan University of Science and Engineering, Zigong, China","institution_ids":["https://openalex.org/I64852412"]},{"raw_affiliation_string":"Artificial Intelligence Key Laboratory of Sichuan Province, Sichuan University of Science and Engineering, Zigong, China","institution_ids":["https://openalex.org/I64852412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047089305","display_name":"Shaolong Shi","orcid":"https://orcid.org/0000-0002-1926-8141"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]},{"id":"https://openalex.org/I4210123686","display_name":"Quzhou University","ror":"https://ror.org/024nfx323","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210123686"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Shaolong Shi","raw_affiliation_strings":["Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou, China","School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China","Department of Computer Science, City University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0002-1926-8141","affiliations":[{"raw_affiliation_string":"Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou, China","institution_ids":["https://openalex.org/I150229711","https://openalex.org/I4210123686"]},{"raw_affiliation_string":"School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.3586,"has_fulltext":true,"cited_by_count":52,"citation_normalized_percentile":{"value":0.934435,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"10","issue":null,"first_page":"117033","last_page":"117044"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9998999834060669,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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":0.998199999332428,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.769973635673523},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7330778241157532},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6006361246109009},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5263705849647522},{"id":"https://openalex.org/keywords/dice","display_name":"Dice","score":0.4798802435398102},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.464611679315567},{"id":"https://openalex.org/keywords/brain-tumor","display_name":"Brain tumor","score":0.46090400218963623},{"id":"https://openalex.org/keywords/cross-entropy","display_name":"Cross entropy","score":0.45299527049064636},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44949764013290405},{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.4187588691711426},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.218501478433609},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12169390916824341},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.09232479333877563},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.0710889995098114}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.769973635673523},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7330778241157532},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6006361246109009},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5263705849647522},{"id":"https://openalex.org/C22029948","wikidata":"https://www.wikidata.org/wiki/Q45089","display_name":"Dice","level":2,"score":0.4798802435398102},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.464611679315567},{"id":"https://openalex.org/C2779130545","wikidata":"https://www.wikidata.org/wiki/Q233309","display_name":"Brain tumor","level":2,"score":0.46090400218963623},{"id":"https://openalex.org/C167981619","wikidata":"https://www.wikidata.org/wiki/Q1685498","display_name":"Cross entropy","level":3,"score":0.45299527049064636},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44949764013290405},{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.4187588691711426},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.218501478433609},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12169390916824341},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.09232479333877563},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0710889995098114},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2022.3214309","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3214309","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09917504.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:273c7bf0c5ea4556a8b92290c311df91","is_oa":true,"landing_page_url":"https://doaj.org/article/273c7bf0c5ea4556a8b92290c311df91","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 117033-117044 (2022)","raw_type":"article"},{"id":"pmh:oai:pure.atira.dk:publications/65803b6d-0a95-4924-96a5-f3f0f8319faf","is_oa":true,"landing_page_url":"https://hdl.handle.net/2031/65803b6d-0a95-4924-96a5-f3f0f8319faf","pdf_url":null,"source":{"id":"https://openalex.org/S7407055387","display_name":"CityU Scholars","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"YAN, C, DING, J, ZHANG, H, TONG, K, HUA, B & SHI, S 2022, 'SEResU-Net for Multimodal Brain Tumor Segmentation', IEEE Access, vol. 10, pp. 117033-117044. https://doi.org/10.1109/ACCESS.2022.3214309","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3214309","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3214309","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09917504.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.8500000238418579}],"awards":[{"id":"https://openalex.org/G4433925044","display_name":null,"funder_award_id":"2020RC31","funder_id":"https://openalex.org/F4320322947","funder_display_name":"Sichuan University of Science and Engineering"},{"id":"https://openalex.org/G5260957702","display_name":null,"funder_award_id":"81401482","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5582185793","display_name":null,"funder_award_id":"XJ2021007","funder_id":"https://openalex.org/F4320323540","funder_display_name":"Society of Hong Kong Scholars"},{"id":"https://openalex.org/G7678210446","display_name":null,"funder_award_id":"62102071","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322947","display_name":"Sichuan University of Science and Engineering","ror":"https://ror.org/053fzma23"},{"id":"https://openalex.org/F4320322990","display_name":"Sichuan University","ror":"https://ror.org/011ashp19"},{"id":"https://openalex.org/F4320323540","display_name":"Society of Hong Kong Scholars","ror":"https://ror.org/03gffcv79"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4312874557.pdf","grobid_xml":"https://content.openalex.org/works/W4312874557.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1641498739","https://openalex.org/W1686810756","https://openalex.org/W1901129140","https://openalex.org/W2097117768","https://openalex.org/W2123498585","https://openalex.org/W2147800946","https://openalex.org/W2194775991","https://openalex.org/W2395611524","https://openalex.org/W2476548250","https://openalex.org/W2521587260","https://openalex.org/W2538556778","https://openalex.org/W2613456556","https://openalex.org/W2618530766","https://openalex.org/W2724276442","https://openalex.org/W2751069891","https://openalex.org/W2770616710","https://openalex.org/W2788843631","https://openalex.org/W2900298334","https://openalex.org/W2944052559","https://openalex.org/W2952378269","https://openalex.org/W2962914239","https://openalex.org/W2963420686","https://openalex.org/W2963446712","https://openalex.org/W2963881378","https://openalex.org/W2971221568","https://openalex.org/W2982467221","https://openalex.org/W2995812281","https://openalex.org/W3006655138","https://openalex.org/W3011743383","https://openalex.org/W3013630101","https://openalex.org/W3022950738","https://openalex.org/W3032660954","https://openalex.org/W3045950046","https://openalex.org/W3082824809","https://openalex.org/W3096244759","https://openalex.org/W3118442183","https://openalex.org/W3129744991","https://openalex.org/W3153088206","https://openalex.org/W3166117684","https://openalex.org/W3167747937","https://openalex.org/W3172728522","https://openalex.org/W3178929172","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6639824700","https://openalex.org/W6725739302","https://openalex.org/W6748166334","https://openalex.org/W6755891590"],"related_works":["https://openalex.org/W3104750253","https://openalex.org/W3021239166","https://openalex.org/W2586273397","https://openalex.org/W2390936256","https://openalex.org/W2483429559","https://openalex.org/W2016385589","https://openalex.org/W4200334192","https://openalex.org/W3082625452","https://openalex.org/W4206412002","https://openalex.org/W4391129385"],"abstract_inverted_index":{"Glioma":[0],"is":[1,25,54,170],"the":[2,30,60,76,108,113,122,141,146,152,180,190,217,228,231,235,248,257],"most":[3],"common":[4],"type":[5],"of":[6,26,34,66,78,85,124,154,158,172,182,193,247],"brain":[7,35,39,51,69,94,160,202,267],"tumor,":[8,230,237],"and":[9,32,63,83,112,139,175,185,197,213,225,234,242],"it":[10],"has":[11,46,260],"a":[12,38,55,165,261],"high":[13],"mortality":[14],"rate.":[15],"Accurate":[16],"tumor":[17,40,52,70,203,232],"segmentation":[18,41,53,71,156,191],"based":[19,43],"on":[20,44,145,195],"magnetic":[21],"resonance":[22],"imaging":[23],"(MRI)":[24],"great":[27],"significance":[28],"for":[29,227],"diagnosis":[31],"treatment":[33],"tumors.":[36,67,95,161,268],"Recently,":[37],"method":[42],"U-Net":[45,91,103,249],"gained":[47],"considerable":[48],"attention.":[49],"However,":[50],"challenging":[56],"task":[57],"due":[58],"to":[59,92,143,178],"structural":[61],"variations":[62],"inhomogeneous":[64],"intensity":[65],"Existing":[68],"studies":[72],"have":[73],"shown":[74],"that":[75,128,208,256],"problems":[77,181],"insufficient":[79,155],"down-sampling":[80],"feature":[81,133,148],"extraction":[82],"loss":[84,138,167,174],"up-sampling":[86],"information":[87,137],"arise":[88],"when":[89],"using":[90],"segment":[93],"In":[96],"this":[97],"study,":[98],"we":[99,163],"proposed":[100,258],"an":[101],"improved":[102],"model,":[104],"SEResU-Net,":[105,216],"which":[106,150,169,238],"combines":[107],"deep":[109,118],"residual":[110,119],"network":[111,120,125,142,183],"Squeeze-and-Excitation":[114],"Network":[115],"(SENet).":[116],"The":[117],"solves":[121,151],"problem":[123,153],"degradation":[126],"so":[127],"SEResU-Net":[129,194,209,259],"can":[130],"extract":[131],"more":[132],"information.":[134],"SENet":[135],"avoids":[136],"enables":[140],"focus":[144],"useful":[147],"map,":[149],"accuracy":[157],"small-scale":[159],"Furthermore,":[162],"developed":[164],"fusion":[166],"function,":[168],"composed":[171],"Dice":[173,219],"cross-entropy":[176],"loss,":[177],"solve":[179],"convergence":[184],"data":[186],"imbalance.":[187],"We":[188],"evaluated":[189],"performance":[192],"BraTS2018":[196],"BraTS2019,":[198],"two":[199],"authoritative":[200],"MRI":[201],"benchmarks.":[204],"Experimental":[205],"results":[206],"revealed":[207],"outperformed":[210],"SEU-Net,":[211],"ResU-Net,":[212],"U-Net.":[214],"For":[215],"mean":[218],"similarity":[220],"coefficients":[221],"were":[222,239],"0.9373,":[223],"0.9108,":[224],"0.8758":[226],"whole":[229],"core,":[233],"enhanced":[236],"7.10%,":[240],"11.88%,":[241],"15.33%":[243],"greater":[244],"than":[245],"those":[246],"benchmark":[250],"network,":[251],"respectively.":[252],"Our":[253],"findings":[254],"demonstrate":[255],"competitive":[262],"effect":[263],"in":[264],"segmenting":[265],"multimodal":[266]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":22},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":7}],"updated_date":"2026-07-27T08:26:11.824852","created_date":"2025-10-10T00:00:00"}
