{"id":"https://openalex.org/W4403742614","doi":"https://doi.org/10.1111/coin.70000","title":"An Efficient and Robust <scp>3D</scp> Medical Image Classification Approach Based on <scp>3D CNN</scp>, Time\u2010Distributed <scp>2D CNN</scp>\u2010<scp>BLSTM</scp> Models, and <scp>mRMR</scp> Feature Selection","display_name":"An Efficient and Robust <scp>3D</scp> Medical Image Classification Approach Based on <scp>3D CNN</scp>, Time\u2010Distributed <scp>2D CNN</scp>\u2010<scp>BLSTM</scp> Models, and <scp>mRMR</scp> Feature Selection","publication_year":2024,"publication_date":"2024-10-01","ids":{"openalex":"https://openalex.org/W4403742614","doi":"https://doi.org/10.1111/coin.70000"},"language":"en","primary_location":{"id":"doi:10.1111/coin.70000","is_oa":true,"landing_page_url":"https://doi.org/10.1111/coin.70000","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/coin.70000","source":{"id":"https://openalex.org/S56561474","display_name":"Computational Intelligence","issn_l":"0824-7935","issn":["0824-7935","1467-8640"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/coin.70000","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045418183","display_name":"Enver Akbacak","orcid":"https://orcid.org/0000-0002-6753-7887"},"institutions":[{"id":"https://openalex.org/I3132756774","display_name":"Fenerbah\u00e7e University","ror":"https://ror.org/00xf89h18","country_code":"TR","type":"education","lineage":["https://openalex.org/I3132756774"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Enver Akbacak","raw_affiliation_strings":["Department of Computer Engineering, Faculty of Engineering Fenerbah\u00e7e University  Istanbul Turkey"],"raw_orcid":"https://orcid.org/0000-0002-6753-7887","affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Faculty of Engineering Fenerbah\u00e7e University  Istanbul Turkey","institution_ids":["https://openalex.org/I3132756774"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050476597","display_name":"Nedim Muzo\u011flu","orcid":"https://orcid.org/0000-0003-1591-2806"},"institutions":[{"id":"https://openalex.org/I4210128276","display_name":"Sa\u011fl\u0131k Bilimleri \u00dcniversitesi","ror":"https://ror.org/03k7bde87","country_code":"TR","type":"education","lineage":["https://openalex.org/I4210128276"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Nedim Muzo\u011flu","raw_affiliation_strings":["Department of Bioengineering Institute of Health Sciences, University of Health Sciences  Istanbul Turkey"],"raw_orcid":"https://orcid.org/0000-0003-1591-2806","affiliations":[{"raw_affiliation_string":"Department of Bioengineering Institute of Health Sciences, University of Health Sciences  Istanbul Turkey","institution_ids":["https://openalex.org/I4210128276"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5050476597"],"corresponding_institution_ids":["https://openalex.org/I4210128276"],"apc_list":{"value":3450,"currency":"USD","value_usd":3450},"apc_paid":null,"fwci":1.1219,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.79625181,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"40","issue":"5","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9968000054359436,"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":0.9968000054359436,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.9965000152587891,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6446272134780884},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5357232689857483},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3619433641433716},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3582690954208374}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6446272134780884},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5357232689857483},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3619433641433716},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3582690954208374},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1111/coin.70000","is_oa":true,"landing_page_url":"https://doi.org/10.1111/coin.70000","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/coin.70000","source":{"id":"https://openalex.org/S56561474","display_name":"Computational Intelligence","issn_l":"0824-7935","issn":["0824-7935","1467-8640"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1111/coin.70000","is_oa":true,"landing_page_url":"https://doi.org/10.1111/coin.70000","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/coin.70000","source":{"id":"https://openalex.org/S56561474","display_name":"Computational Intelligence","issn_l":"0824-7935","issn":["0824-7935","1467-8640"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4403742614.pdf"},"referenced_works_count":61,"referenced_works":["https://openalex.org/W1487321909","https://openalex.org/W1779363178","https://openalex.org/W2043354694","https://openalex.org/W2044468884","https://openalex.org/W2053502852","https://openalex.org/W2064675550","https://openalex.org/W2087016914","https://openalex.org/W2143829622","https://openalex.org/W2153678774","https://openalex.org/W2194775991","https://openalex.org/W2343420905","https://openalex.org/W2551651401","https://openalex.org/W2582662555","https://openalex.org/W2735766064","https://openalex.org/W2810685774","https://openalex.org/W2897260120","https://openalex.org/W2904751442","https://openalex.org/W2909645133","https://openalex.org/W2912909565","https://openalex.org/W2964350391","https://openalex.org/W2969466692","https://openalex.org/W2997603756","https://openalex.org/W2997871480","https://openalex.org/W2997876081","https://openalex.org/W2998072408","https://openalex.org/W3001669684","https://openalex.org/W3006926034","https://openalex.org/W3007559859","https://openalex.org/W3009292867","https://openalex.org/W3021014763","https://openalex.org/W3027411515","https://openalex.org/W3049310425","https://openalex.org/W3074741277","https://openalex.org/W3082774355","https://openalex.org/W3083622693","https://openalex.org/W3090867153","https://openalex.org/W3105524694","https://openalex.org/W3120755852","https://openalex.org/W3134475970","https://openalex.org/W3137871222","https://openalex.org/W3167759213","https://openalex.org/W3172386033","https://openalex.org/W3180357520","https://openalex.org/W3195351540","https://openalex.org/W3201203917","https://openalex.org/W3211167621","https://openalex.org/W4200137285","https://openalex.org/W4205848749","https://openalex.org/W4213202802","https://openalex.org/W4214492108","https://openalex.org/W4285109499","https://openalex.org/W4286639697","https://openalex.org/W4293660994","https://openalex.org/W4296983878","https://openalex.org/W4297394632","https://openalex.org/W4317436377","https://openalex.org/W4317816581","https://openalex.org/W4318484896","https://openalex.org/W4360584343","https://openalex.org/W4383888035","https://openalex.org/W4391420172"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"ABSTRACT":[0],"The":[1,86,105,126,168],"advent":[2],"of":[3,15,34,42,92,157,164,180],"3D":[4,81,94,109,118],"medical":[5,35,82],"imaging":[6],"has":[7],"been":[8],"a":[9,76,117,148],"turning":[10],"point":[11],"in":[12,178],"the":[13,32,51,133,155,158,165,172],"diagnosis":[14,84],"various":[16,70],"diseases,":[17],"as":[18],"voxel":[19],"information":[20],"from":[21,98,113],"adjacent":[22],"slices":[23],"helps":[24],"radiologists":[25,38],"better":[26],"understand":[27],"complex":[28],"anatomical":[29],"relationships.":[30],"However,":[31],"interpretation":[33],"images":[36],"by":[37,147],"with":[39,66],"different":[40],"levels":[41],"expertise":[43],"can":[44],"vary":[45],"and":[46,61,101,120,161,182],"is":[47],"also":[48],"time\u2010consuming.":[49],"In":[50],"last":[52],"decades,":[53],"artificial":[54],"intelligence\u2010based":[55],"computer\u2010aided":[56],"systems":[57],"have":[58],"provided":[59],"fast":[60],"more":[62],"reliable":[63],"diagnostic":[64],"insights":[65],"great":[67],"potential":[68],"for":[69],"clinical":[71],"purposes.":[72],"This":[73],"paper":[74],"proposes":[75],"significant":[77],"deep":[78],"learning":[79],"based":[80],"image":[83,110],"method.":[85,141],"method":[87,107],"classifies":[88],"MedMNIST3D,":[89],"which":[90],"consists":[91],"six":[93],"biomedical":[95],"datasets":[96],"obtained":[97],"CT,":[99],"MRA,":[100],"electron":[102],"microscopy":[103],"modalities.":[104],"proposed":[106,173],"concatenates":[108],"features":[111,129,143],"extracted":[112],"three":[114],"independent":[115],"networks,":[116],"CNN,":[119],"two":[121],"time\u2010distributed":[122],"ResNet":[123],"BLSTM":[124],"structures.":[125],"ultimate":[127],"discriminative":[128],"are":[130,144],"selected":[131],"via":[132],"minimum":[134],"redundancy":[135],"maximum":[136],"relevance":[137],"(mRMR)":[138],"feature":[139],"selection":[140],"Those":[142],"then":[145],"classified":[146],"neural":[149],"network":[150],"model.":[151],"Experiments":[152],"adhere":[153],"to":[154],"rules":[156],"official":[159],"splits":[160],"evaluation":[162],"metrics":[163],"MedMNIST3D":[166],"datasets.":[167],"results":[169],"reveal":[170],"that":[171],"approach":[174],"outperforms":[175],"similar":[176],"studies":[177],"terms":[179],"accuracy":[181],"AUC.":[183]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
