{"id":"https://openalex.org/W3115863418","doi":"https://doi.org/10.1109/ivcnz51579.2020.9290616","title":"Introducing Transfer Learning to 3D ResNet-18 for Alzheimer\u2019s Disease Detection on MRI Images","display_name":"Introducing Transfer Learning to 3D ResNet-18 for Alzheimer\u2019s Disease Detection on MRI Images","publication_year":2020,"publication_date":"2020-11-25","ids":{"openalex":"https://openalex.org/W3115863418","doi":"https://doi.org/10.1109/ivcnz51579.2020.9290616","mag":"3115863418"},"language":"en","primary_location":{"id":"doi:10.1109/ivcnz51579.2020.9290616","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivcnz51579.2020.9290616","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 35th International Conference on Image and Vision Computing New Zealand (IVCNZ)","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/A5071582080","display_name":"Amir Ebrahimi Ghahnavieh","orcid":"https://orcid.org/0000-0001-7251-5853"},"institutions":[{"id":"https://openalex.org/I78757542","display_name":"University of Newcastle Australia","ror":"https://ror.org/00eae9z71","country_code":"AU","type":"education","lineage":["https://openalex.org/I78757542"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Amir Ebrahimi","raw_affiliation_strings":["School of Electrical Engineering and Computing, The University of Newcastle Callaghan, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computing, The University of Newcastle Callaghan, NSW, Australia","institution_ids":["https://openalex.org/I78757542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078730212","display_name":"Suhuai Luo","orcid":"https://orcid.org/0000-0002-6185-6035"},"institutions":[{"id":"https://openalex.org/I78757542","display_name":"University of Newcastle Australia","ror":"https://ror.org/00eae9z71","country_code":"AU","type":"education","lineage":["https://openalex.org/I78757542"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Suhuai Luo","raw_affiliation_strings":["School of Electrical Engineering and Computing, The University of Newcastle Callaghan, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computing, The University of Newcastle Callaghan, NSW, Australia","institution_ids":["https://openalex.org/I78757542"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027845071","display_name":"Raymond Chiong","orcid":"https://orcid.org/0000-0002-8285-1903"},"institutions":[{"id":"https://openalex.org/I78757542","display_name":"University of Newcastle Australia","ror":"https://ror.org/00eae9z71","country_code":"AU","type":"education","lineage":["https://openalex.org/I78757542"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Raymond Chiong","raw_affiliation_strings":["School of Electrical Engineering and Computing, The University of Newcastle Callaghan, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computing, The University of Newcastle Callaghan, NSW, Australia","institution_ids":["https://openalex.org/I78757542"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5071582080"],"corresponding_institution_ids":["https://openalex.org/I78757542"],"apc_list":null,"apc_paid":null,"fwci":3.5575,"has_fulltext":false,"cited_by_count":91,"citation_normalized_percentile":{"value":0.93734114,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9991000294685364,"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/T10862","display_name":"AI in cancer detection","score":0.9988999962806702,"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/transfer-of-learning","display_name":"Transfer of learning","score":0.8613570928573608},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8294260501861572},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7616097927093506},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.759482741355896},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5979772806167603},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.5197060704231262},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5177614092826843},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4872633218765259},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4396418631076813},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.43722644448280334},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.43091264367103577},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3673017621040344},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33935368061065674},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.09851974248886108},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.07169407606124878}],"concepts":[{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.8613570928573608},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8294260501861572},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7616097927093506},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.759482741355896},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5979772806167603},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.5197060704231262},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5177614092826843},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4872633218765259},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4396418631076813},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.43722644448280334},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.43091264367103577},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3673017621040344},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33935368061065674},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.09851974248886108},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.07169407606124878},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ivcnz51579.2020.9290616","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivcnz51579.2020.9290616","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 35th International Conference on Image and Vision Computing New Zealand (IVCNZ)","raw_type":"proceedings-article"},{"id":"pmh:oai:rune.une.edu.au:1959.11/61412","is_oa":false,"landing_page_url":"https://hdl.handle.net/1959.11/61412","pdf_url":null,"source":{"id":"https://openalex.org/S7407055448","display_name":"RUNE (Research UNE)","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Publication"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1528119265","https://openalex.org/W1533861849","https://openalex.org/W1686810756","https://openalex.org/W2020745232","https://openalex.org/W2097117768","https://openalex.org/W2117539524","https://openalex.org/W2129267808","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2483198639","https://openalex.org/W2580596898","https://openalex.org/W2586179392","https://openalex.org/W2592929672","https://openalex.org/W2748553987","https://openalex.org/W2770966822","https://openalex.org/W2782718222","https://openalex.org/W2784075654","https://openalex.org/W2791164041","https://openalex.org/W2791282053","https://openalex.org/W2794356790","https://openalex.org/W2886305913","https://openalex.org/W2901348195","https://openalex.org/W2905300705","https://openalex.org/W2907148404","https://openalex.org/W2907891676","https://openalex.org/W2963557007","https://openalex.org/W2966069105","https://openalex.org/W2990581109","https://openalex.org/W2993740710","https://openalex.org/W3103205982","https://openalex.org/W4293874189","https://openalex.org/W6631454193","https://openalex.org/W6631943919","https://openalex.org/W6637373629","https://openalex.org/W6684191040","https://openalex.org/W6722034755"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W3133861977","https://openalex.org/W3183901164","https://openalex.org/W4206357785","https://openalex.org/W4281381188","https://openalex.org/W2951211570","https://openalex.org/W3192840557","https://openalex.org/W3103566983","https://openalex.org/W3135818718","https://openalex.org/W4290188444"],"abstract_inverted_index":{"This":[0,54],"paper":[1],"focuses":[2],"on":[3,12,49],"detecting":[4],"Alzheimer's":[5],"Disease":[6],"(AD)":[7],"using":[8,155],"the":[9,50,61,73,111,147,160],"ResNet-18":[10],"model":[11],"Magnetic":[13],"Resonance":[14],"Imaging":[15],"(MRI).":[16],"Previous":[17],"studies":[18],"have":[19],"applied":[20],"different":[21],"2D":[22,40,67,76,93,116,125],"Convolutional":[23],"Neural":[24],"Networks":[25],"(CNNs)":[26],"to":[27,34,58,87,102,119,142],"detect":[28],"AD.":[29],"The":[30],"main":[31],"idea":[32,55],"being":[33],"split":[35],"3D":[36,81,89,107,121,127,144],"MRI":[37,82],"scans":[38],"into":[39],"image":[41,51,77,117,122],"slices,":[42],"so":[43],"that":[44,138],"classification":[45],"can":[46],"be":[47],"performed":[48],"slices":[52,78],"independently.":[53],"allows":[56,110],"researchers":[57],"benefit":[59],"from":[60,115],"concept":[62],"of":[63,71,92,113,149],"transfer":[64,104,112,140],"learning.":[65],"However,":[66],"CNNs":[68,90,128],"are":[69,129],"incapable":[70],"understanding":[72],"relationship":[74],"among":[75],"in":[79,106,131,159],"a":[80,100,120,143],"scan.":[83],"One":[84],"solution":[85],"is":[86],"employ":[88],"instead":[91],"ones.":[94],"In":[95],"this":[96,132],"paper,":[97],"we":[98],"propose":[99],"method":[101,158],"utilise":[103],"learning":[105,141],"CNNs,":[108],"which":[109],"knowledge":[114],"datasets":[118],"dataset.":[123],"Both":[124],"and":[126,134,170],"compared":[130],"study,":[133],"our":[135,163],"results":[136],"show":[137],"introducing":[139],"CNN":[145],"improves":[146],"accuracy":[148],"an":[150,156],"AD":[151],"detection":[152],"system.":[153],"After":[154],"optimisation":[157],"training":[161],"process,":[162],"approach":[164],"achieved":[165],"96.88%":[166],"accuracy,":[167],"100%":[168],"sensitivity,":[169],"93.75%":[171],"specificity.":[172]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":28},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":5}],"updated_date":"2026-06-05T09:01:59.212387","created_date":"2025-10-10T00:00:00"}
