{"id":"https://openalex.org/W4407686190","doi":"https://doi.org/10.1587/transinf.2024edl8049","title":"Dendritic Aggregated Residual Deep Learning for Meningioma MRI Diagnosis","display_name":"Dendritic Aggregated Residual Deep Learning for Meningioma MRI Diagnosis","publication_year":2025,"publication_date":"2025-02-18","ids":{"openalex":"https://openalex.org/W4407686190","doi":"https://doi.org/10.1587/transinf.2024edl8049"},"language":"en","primary_location":{"id":"doi:10.1587/transinf.2024edl8049","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2024edl8049","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E108.D/8/E108.D_2024EDL8049/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.jstage.jst.go.jp/article/transinf/E108.D/8/E108.D_2024EDL8049/_pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5115591364","display_name":"Ningning Wang","orcid":"https://orcid.org/0000-0002-8947-7619"},"institutions":[{"id":"https://openalex.org/I42766147","display_name":"University of Toyama","ror":"https://ror.org/0445phv87","country_code":"JP","type":"education","lineage":["https://openalex.org/I42766147"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ningning WANG","raw_affiliation_strings":["Faculty of Engineering, University of Toyama"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, University of Toyama","institution_ids":["https://openalex.org/I42766147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107955083","display_name":"Qianhang DU","orcid":null},"institutions":[{"id":"https://openalex.org/I42766147","display_name":"University of Toyama","ror":"https://ror.org/0445phv87","country_code":"JP","type":"education","lineage":["https://openalex.org/I42766147"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Qianhang DU","raw_affiliation_strings":["Faculty of Engineering, University of Toyama"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, University of Toyama","institution_ids":["https://openalex.org/I42766147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054961016","display_name":"Zijing Yuan","orcid":"https://orcid.org/0000-0002-7235-5842"},"institutions":[{"id":"https://openalex.org/I42766147","display_name":"University of Toyama","ror":"https://ror.org/0445phv87","country_code":"JP","type":"education","lineage":["https://openalex.org/I42766147"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Zijing YUAN","raw_affiliation_strings":["Faculty of Engineering, University of Toyama"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, University of Toyama","institution_ids":["https://openalex.org/I42766147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100940132","display_name":"Yu Gao","orcid":"https://orcid.org/0009-0009-7655-9015"},"institutions":[{"id":"https://openalex.org/I42766147","display_name":"University of Toyama","ror":"https://ror.org/0445phv87","country_code":"JP","type":"education","lineage":["https://openalex.org/I42766147"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yu GAO","raw_affiliation_strings":["Faculty of Engineering, University of Toyama"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, University of Toyama","institution_ids":["https://openalex.org/I42766147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023801960","display_name":"Rong\u2010Long Wang","orcid":"https://orcid.org/0009-0004-6354-3632"},"institutions":[{"id":"https://openalex.org/I111966504","display_name":"University of Fukui","ror":"https://ror.org/00msqp585","country_code":"JP","type":"education","lineage":["https://openalex.org/I111966504"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Rong-Long WANG","raw_affiliation_strings":["Faculty of Engineering, University of Fukui"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, University of Fukui","institution_ids":["https://openalex.org/I111966504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010245958","display_name":"Shangce Gao","orcid":"https://orcid.org/0000-0001-5042-3261"},"institutions":[{"id":"https://openalex.org/I42766147","display_name":"University of Toyama","ror":"https://ror.org/0445phv87","country_code":"JP","type":"education","lineage":["https://openalex.org/I42766147"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shangce GAO","raw_affiliation_strings":["Faculty of Engineering, University of Toyama"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, University of Toyama","institution_ids":["https://openalex.org/I42766147"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03121582,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"E108.D","issue":"8","first_page":"1016","last_page":"1019"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9839000105857849,"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":0.9839000105857849,"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/T12676","display_name":"Machine Learning and ELM","score":0.9391999840736389,"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":0.8010708093643188},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.7866647243499756},{"id":"https://openalex.org/keywords/meningioma","display_name":"Meningioma","score":0.683091938495636},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5140103101730347},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5044804811477661},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3228551149368286},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.30092930793762207},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.14103710651397705},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10177847743034363}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8010708093643188},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7866647243499756},{"id":"https://openalex.org/C2779160599","wikidata":"https://www.wikidata.org/wiki/Q369157","display_name":"Meningioma","level":2,"score":0.683091938495636},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5140103101730347},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5044804811477661},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3228551149368286},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.30092930793762207},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.14103710651397705},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10177847743034363}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1587/transinf.2024edl8049","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2024edl8049","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E108.D/8/E108.D_2024EDL8049/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1587/transinf.2024edl8049","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2024edl8049","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E108.D/8/E108.D_2024EDL8049/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.550000011920929}],"awards":[{"id":"https://openalex.org/G4988898295","display_name":null,"funder_award_id":"JP25K03179","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4407686190.pdf","grobid_xml":"https://content.openalex.org/works/W4407686190.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W1995341919","https://openalex.org/W2829536470","https://openalex.org/W2963446712","https://openalex.org/W3038540011","https://openalex.org/W3040156639","https://openalex.org/W3129469040","https://openalex.org/W3159670968","https://openalex.org/W3183992926","https://openalex.org/W3196700921","https://openalex.org/W4313452645","https://openalex.org/W4382407401","https://openalex.org/W4388019121","https://openalex.org/W4391305635","https://openalex.org/W4391765461"],"related_works":["https://openalex.org/W1982741417","https://openalex.org/W2406984390","https://openalex.org/W3144076798","https://openalex.org/W2560215812","https://openalex.org/W2079935687","https://openalex.org/W3164933013","https://openalex.org/W2949601986","https://openalex.org/W3029036155","https://openalex.org/W4380075502","https://openalex.org/W2949767241"],"abstract_inverted_index":{"The":[0],"diagnosis":[1],"of":[2,19,71,75,93,103,120,134,143],"meningioma":[3,20,144],"through":[4],"magnetic":[5],"resonance":[6],"imaging":[7],"(MRI)":[8],"holds":[9],"significant":[10],"importance":[11],"in":[12,139,151],"clinical":[13],"medicine.":[14],"To":[15],"enhance":[16],"the":[17,49,72,90,96,116,131,135,140,148],"accuracy":[18,164],"diagnosis,":[21],"a":[22,80,110],"more":[23],"effective":[24],"image":[25,167],"classification":[26,141,168],"method":[27,98],"is":[28],"required":[29],"to":[30,46,66,99,114,156],"comprehensively":[31,124],"capture":[32],"subtle":[33],"features":[34,102],"within":[35],"MRI":[36,104,145],"images.":[37,105],"Although":[38],"deep":[39,158],"learning":[40,159],"networks":[41,52],"have":[42],"been":[43],"successfully":[44],"applied":[45],"this":[47],"problem,":[48],"conventional":[50],"neural":[51,112],"based":[53],"on":[54],"McCulloch-Pitts":[55],"neurons":[56,122],"suffer":[57],"from":[58],"low":[59],"performance":[60,133],"and":[61,69,95,165],"insufficient":[62],"feature":[63],"extraction,":[64],"due":[65],"simplistic":[67],"structure":[68,92],"neglect":[70],"nonlinear":[73,117],"effects":[74],"synapses.":[76],"Therefore,":[77],"we":[78,107],"propose":[79],"novel":[81],"dendritic":[82,111],"learning-based":[83],"ResNeXt":[84,94,149],"model,":[85],"named":[86],"DResNeXt.":[87],"It":[88],"utilizes":[89],"residual":[91],"cardinality":[97],"adequately":[100],"extract":[101],"Then,":[106],"innovationally":[108],"introduce":[109],"model":[113,138,150],"improve":[115],"information":[118],"processing":[119],"biological":[121],"for":[123],"handling":[125],"extracted":[126],"features.":[127],"Experimental":[128],"results":[129],"demonstrate":[130],"outstanding":[132],"proposed":[136],"DResNeXt":[137],"task":[142],"dataset,":[146],"surpassing":[147],"preventing":[152],"overfitting.":[153],"Additionally,":[154],"compared":[155],"other":[157],"models,":[160],"it":[161],"exhibits":[162],"higher":[163],"superior":[166],"performance.":[169]},"counts_by_year":[],"updated_date":"2026-03-07T13:37:22.277990","created_date":"2025-10-10T00:00:00"}
