{"id":"https://openalex.org/W4413182086","doi":"https://doi.org/10.1142/s0218001425570216","title":"Brain Tumor MRI Image Segmentation Based on Improved Deep Learning Network Model U<sup>2</sup>-Net","display_name":"Brain Tumor MRI Image Segmentation Based on Improved Deep Learning Network Model U<sup>2</sup>-Net","publication_year":2025,"publication_date":"2025-08-13","ids":{"openalex":"https://openalex.org/W4413182086","doi":"https://doi.org/10.1142/s0218001425570216"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001425570216","is_oa":true,"landing_page_url":"https://doi.org/10.1142/s0218001425570216","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1142/s0218001425570216","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5119294606","display_name":"Pan Luhai","orcid":null},"institutions":[{"id":"https://openalex.org/I4210122543","display_name":"Guangdong Polytechnic Normal University","ror":"https://ror.org/02pcb5m77","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pan Luhai","raw_affiliation_strings":["School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, P. R. China","institution_ids":["https://openalex.org/I4210122543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5118603058","display_name":"Hu Ruo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210122543","display_name":"Guangdong Polytechnic Normal University","ror":"https://ror.org/02pcb5m77","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122543"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hu Ruo","raw_affiliation_strings":["School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, P. R. China"],"raw_orcid":"https://orcid.org/0000-0003-2100-5639","affiliations":[{"raw_affiliation_string":"School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, P. R. China","institution_ids":["https://openalex.org/I4210122543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065493202","display_name":"Hong Xu","orcid":"https://orcid.org/0000-0001-7918-1454"},"institutions":[{"id":"https://openalex.org/I4210122543","display_name":"Guangdong Polytechnic Normal University","ror":"https://ror.org/02pcb5m77","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Hong","raw_affiliation_strings":["School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, P. R. China","institution_ids":["https://openalex.org/I4210122543"]}]},{"author_position":"last","author":{"id":null,"display_name":"Zhao Huimin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210122543","display_name":"Guangdong Polytechnic Normal University","ror":"https://ror.org/02pcb5m77","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao Huimin","raw_affiliation_strings":["School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, P. R. China","institution_ids":["https://openalex.org/I4210122543"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5118603058"],"corresponding_institution_ids":["https://openalex.org/I4210122543"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23125789,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"39","issue":"14","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9998000264167786,"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":0.9998000264167786,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9966999888420105,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6992022395133972},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6005198955535889},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.592948853969574},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5443633794784546},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.510466456413269},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5094638466835022},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42271408438682556},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40941864252090454}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6992022395133972},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6005198955535889},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.592948853969574},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5443633794784546},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.510466456413269},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5094638466835022},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42271408438682556},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40941864252090454}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001425570216","is_oa":true,"landing_page_url":"https://doi.org/10.1142/s0218001425570216","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1142/s0218001425570216","is_oa":true,"landing_page_url":"https://doi.org/10.1142/s0218001425570216","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1572063013","https://openalex.org/W1622676895","https://openalex.org/W1963691653","https://openalex.org/W2002096058","https://openalex.org/W2017307521","https://openalex.org/W2082399485","https://openalex.org/W2101926813","https://openalex.org/W2131006320","https://openalex.org/W2133059825","https://openalex.org/W2154158661","https://openalex.org/W2155004074","https://openalex.org/W2194775991","https://openalex.org/W2366536035","https://openalex.org/W2494581537","https://openalex.org/W2560322684","https://openalex.org/W2592929672","https://openalex.org/W2955805844","https://openalex.org/W3042445013","https://openalex.org/W3125077400","https://openalex.org/W4212863985"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W2731899572","https://openalex.org/W4230611425","https://openalex.org/W4294635752","https://openalex.org/W4304166257","https://openalex.org/W4383066092","https://openalex.org/W3215138031","https://openalex.org/W4379231730","https://openalex.org/W1522196789"],"abstract_inverted_index":{"At":[0],"present,":[1],"the":[2,47,50,56,65,74,78,98,101,132,139,154,169,184,189,200,204,208,211,215,218,227,233,246,249,253,264],"image":[3,22,32,121,205,220,255],"segmentation":[4,33,103,122,212,221,234,250,256],"network":[5,40,222],"architecture":[6],"based":[7,35,124],"on":[8,36,125],"deep":[9],"learning":[10],"will":[11],"lose":[12],"some":[13],"important":[14],"information":[15,156],"and":[16,73,83,162,174,188,231,239,248],"key":[17],"details":[18],"when":[19],"extracting":[20],"shallow":[21],"features,":[23],"which":[24],"may":[25],"cause":[26],"errors":[27],"in":[28,89],"clinical":[29],"diagnosis.":[30],"The":[31,179,193],"method":[34,123,187,257],"a":[37,148],"convolutional":[38],"neural":[39],"still":[41],"needs":[42,109],"to":[43,110,152,198,206],"be":[44,111],"improved.":[45],"For":[46],"first":[48],"time,":[49],"MobileViT":[51,149],"block":[52,136,150,172,177],"is":[53,145,166,196,224,258],"combined":[54],"with":[55,147],"nested":[57],"U-shaped":[58],"structure":[59],"of":[60,68,80,86,105,141,157,183,203,210,217,229,252,263],"U":[61,126,142],"2":[62,127,143],"-Net.":[63,128],"Through":[64],"collaborative":[66],"optimization":[67],"lightweight":[69],"global":[70,158,201],"context":[71,160],"modeling":[72],"channel-spatial":[75],"attention":[76,164,180,186,191],"mechanism,":[77],"problems":[79],"blurred":[81],"boundaries":[82],"insufficient":[84],"fusion":[85],"multi-scale":[87],"features":[88],"brain":[90,106,118],"tumor":[91],"MRI":[92,120],"images":[93,108],"are":[94],"solved.":[95],"Aiming":[96],"at":[97,138],"problem":[99],"that":[100,262],"overall":[102],"accuracy":[104,209,251],"glioma":[107,119],"improved,":[112],"this":[113,130],"paper":[114],"proposes":[115],"an":[116,163],"improved":[117,219,254,260],"In":[129],"model,":[131],"original":[133],"U-type":[134,170,175],"residual":[135,171,176,194],"encoder":[137,173],"bottom":[140],"-Net":[144],"replaced":[146],"module":[151,165,181],"capture":[153],"feature":[155],"remote":[159],"association,":[161],"added":[167],"between":[168],"decoder.":[178],"consists":[182],"spatial":[185],"channel":[190],"method.":[192,213,266],"connection":[195],"used":[197],"grasp":[199],"contour":[202],"improve":[207],"Finally,":[214],"effectiveness":[216],"model":[223],"indicated":[225],"by":[226,245],"parameters":[228],"mIOU":[230],"Dice,":[232],"visualization":[235],"results,":[236],"thermal":[237],"maps":[238],"other":[240],"relevant":[241],"experimental":[242],"data":[243],"obtained":[244],"experiment,":[247],"significantly":[259],"over":[261],"traditional":[265]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-08-17T00:00:00"}
