{"id":"https://openalex.org/W4386474891","doi":"https://doi.org/10.1109/iccsce58721.2023.10237089","title":"Optimizing Network Classification Performance by Geometric Transformations on Delayed Enhancement Cardiac Magnetic Resonance Imaging","display_name":"Optimizing Network Classification Performance by Geometric Transformations on Delayed Enhancement Cardiac Magnetic Resonance Imaging","publication_year":2023,"publication_date":"2023-08-25","ids":{"openalex":"https://openalex.org/W4386474891","doi":"https://doi.org/10.1109/iccsce58721.2023.10237089"},"language":"en","primary_location":{"id":"doi:10.1109/iccsce58721.2023.10237089","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iccsce58721.2023.10237089","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE)","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/A5049531989","display_name":"Dayang Suhaida Awang Damit","orcid":"https://orcid.org/0009-0009-1263-0126"},"institutions":[{"id":"https://openalex.org/I82724352","display_name":"Universiti Teknologi MARA","ror":"https://ror.org/05n8tts92","country_code":"MY","type":"education","lineage":["https://openalex.org/I82724352"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Dayang Suhaida Awang Damit","raw_affiliation_strings":["Universiti Teknologi MARA, Cawangan Pulau Pinang,Electrical Engineering Studies, College of Engineering,Permatang Pauh Campus,Penang,Malaysia,13500"],"affiliations":[{"raw_affiliation_string":"Universiti Teknologi MARA, Cawangan Pulau Pinang,Electrical Engineering Studies, College of Engineering,Permatang Pauh Campus,Penang,Malaysia,13500","institution_ids":["https://openalex.org/I82724352"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078773274","display_name":"Siti Noraini Sulaiman","orcid":"https://orcid.org/0000-0002-9545-5651"},"institutions":[{"id":"https://openalex.org/I82724352","display_name":"Universiti Teknologi MARA","ror":"https://ror.org/05n8tts92","country_code":"MY","type":"education","lineage":["https://openalex.org/I82724352"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Siti Noraini Sulaiman","raw_affiliation_strings":["Universiti Teknologi MARA, Cawangan Pulau Pinang,Electrical Engineering Studies, College of Engineering,Permatang Pauh Campus,Penang,Malaysia,13500","Electrical Engineering Studies, College of Engineering, Universiti Teknologi MARA, Cawangan Pulau Pinang, Permatang Pauh Campus, Penang, Malaysia","Integrative Pharmacogenomics Institute (iPROMISE), UiTM Puncak Alam Campus, Bandar Puncak Alam, Puncak Alam, Selangor, Malaysia","Advanced Rehabilitation Engineering in Diagnostic and Monitoring Research Group (AREDiM), Electrical Engineering Studies, College of Engineering, Universiti Teknologi MARA, Cawangan Pulau Pinang, Permatang Pauh Campus, Penang, Malaysia"],"affiliations":[{"raw_affiliation_string":"Universiti Teknologi MARA, Cawangan Pulau Pinang,Electrical Engineering Studies, College of Engineering,Permatang Pauh Campus,Penang,Malaysia,13500","institution_ids":["https://openalex.org/I82724352"]},{"raw_affiliation_string":"Electrical Engineering Studies, College of Engineering, Universiti Teknologi MARA, Cawangan Pulau Pinang, Permatang Pauh Campus, Penang, Malaysia","institution_ids":["https://openalex.org/I82724352"]},{"raw_affiliation_string":"Integrative Pharmacogenomics Institute (iPROMISE), UiTM Puncak Alam Campus, Bandar Puncak Alam, Puncak Alam, Selangor, Malaysia","institution_ids":["https://openalex.org/I82724352"]},{"raw_affiliation_string":"Advanced Rehabilitation Engineering in Diagnostic and Monitoring Research Group (AREDiM), Electrical Engineering Studies, College of Engineering, Universiti Teknologi MARA, Cawangan Pulau Pinang, Permatang Pauh Campus, Penang, Malaysia","institution_ids":["https://openalex.org/I82724352"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005664778","display_name":"Muhammad Khusairi Osman","orcid":"https://orcid.org/0000-0002-5479-6409"},"institutions":[{"id":"https://openalex.org/I82724352","display_name":"Universiti Teknologi MARA","ror":"https://ror.org/05n8tts92","country_code":"MY","type":"education","lineage":["https://openalex.org/I82724352"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Muhammad Khusairi Osman","raw_affiliation_strings":["Universiti Teknologi MARA, Cawangan Pulau Pinang,Electrical Engineering Studies, College of Engineering,Permatang Pauh Campus,Penang,Malaysia,13500"],"affiliations":[{"raw_affiliation_string":"Universiti Teknologi MARA, Cawangan Pulau Pinang,Electrical Engineering Studies, College of Engineering,Permatang Pauh Campus,Penang,Malaysia,13500","institution_ids":["https://openalex.org/I82724352"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010337917","display_name":"Noor Khairiah A. Karim","orcid":"https://orcid.org/0000-0001-8176-3939"},"institutions":[{"id":"https://openalex.org/I139322472","display_name":"Universiti Sains Malaysia","ror":"https://ror.org/02rgb2k63","country_code":"MY","type":"education","lineage":["https://openalex.org/I139322472"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Noor Khairiah A. Karim","raw_affiliation_strings":["Advanced Medical & Dental Institute, Universiti Sains Malaysia, Bertam, Kepala Batas,Department of Biomedical Imaging,Pulau Pinang,Malaysia,13200","Heart Failure Research Initiative, Advanced Medical & Dental Institute, Universiti Sains Malaysia, Bertam, Kepala Batas, Pulau Pinang, Malaysia"],"affiliations":[{"raw_affiliation_string":"Advanced Medical & Dental Institute, Universiti Sains Malaysia, Bertam, Kepala Batas,Department of Biomedical Imaging,Pulau Pinang,Malaysia,13200","institution_ids":["https://openalex.org/I139322472"]},{"raw_affiliation_string":"Heart Failure Research Initiative, Advanced Medical & Dental Institute, Universiti Sains Malaysia, Bertam, Kepala Batas, Pulau Pinang, Malaysia","institution_ids":["https://openalex.org/I139322472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108472003","display_name":"Belinda Chong Chiew Meng","orcid":null},"institutions":[{"id":"https://openalex.org/I82724352","display_name":"Universiti Teknologi MARA","ror":"https://ror.org/05n8tts92","country_code":"MY","type":"education","lineage":["https://openalex.org/I82724352"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Belinda Chong Chiew Meng","raw_affiliation_strings":["Universiti Teknologi MARA, Cawangan Pulau Pinang,Electrical Engineering Studies, College of Engineering,Permatang Pauh Campus,Penang,Malaysia,13500"],"affiliations":[{"raw_affiliation_string":"Universiti Teknologi MARA, Cawangan Pulau Pinang,Electrical Engineering Studies, College of Engineering,Permatang Pauh Campus,Penang,Malaysia,13500","institution_ids":["https://openalex.org/I82724352"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090536400","display_name":"Mohd Firdaus Abdullah","orcid":"https://orcid.org/0000-0002-0292-6291"},"institutions":[{"id":"https://openalex.org/I82724352","display_name":"Universiti Teknologi MARA","ror":"https://ror.org/05n8tts92","country_code":"MY","type":"education","lineage":["https://openalex.org/I82724352"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Mohd Firdaus Abdullah","raw_affiliation_strings":["Universiti Teknologi MARA, Cawangan Pulau Pinang,Electrical Engineering Studies, College of Engineering,Permatang Pauh Campus,Penang,Malaysia,13500"],"affiliations":[{"raw_affiliation_string":"Universiti Teknologi MARA, Cawangan Pulau Pinang,Electrical Engineering Studies, College of Engineering,Permatang Pauh Campus,Penang,Malaysia,13500","institution_ids":["https://openalex.org/I82724352"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5049531989"],"corresponding_institution_ids":["https://openalex.org/I82724352"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29145489,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":null,"first_page":"101","last_page":"105"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9983999729156494,"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.6356033086776733},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4782646894454956},{"id":"https://openalex.org/keywords/cardiac-magnetic-resonance","display_name":"Cardiac magnetic resonance","score":0.4687367081642151},{"id":"https://openalex.org/keywords/nuclear-magnetic-resonance","display_name":"Nuclear magnetic resonance","score":0.4081737995147705},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35706382989883423},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.3356916904449463},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2178587019443512},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.156190425157547}],"concepts":[{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.6356033086776733},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4782646894454956},{"id":"https://openalex.org/C2987145844","wikidata":"https://www.wikidata.org/wiki/Q5038325","display_name":"Cardiac magnetic resonance","level":3,"score":0.4687367081642151},{"id":"https://openalex.org/C46141821","wikidata":"https://www.wikidata.org/wiki/Q209402","display_name":"Nuclear magnetic resonance","level":1,"score":0.4081737995147705},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35706382989883423},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.3356916904449463},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2178587019443512},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.156190425157547}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccsce58721.2023.10237089","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iccsce58721.2023.10237089","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 13th International Conference on Control System, Computing and Engineering (ICCSCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2097117768","https://openalex.org/W2279098554","https://openalex.org/W2522648674","https://openalex.org/W2890139949","https://openalex.org/W2969057367","https://openalex.org/W3036167779","https://openalex.org/W4200042787","https://openalex.org/W4214640376","https://openalex.org/W4225665623","https://openalex.org/W4283524662","https://openalex.org/W4308262305","https://openalex.org/W4318264112","https://openalex.org/W4327909703","https://openalex.org/W4367174885","https://openalex.org/W6674914833","https://openalex.org/W6695314431","https://openalex.org/W6766868099","https://openalex.org/W6779823529"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2935759653","https://openalex.org/W3105167352","https://openalex.org/W54078636","https://openalex.org/W2954470139","https://openalex.org/W1501425562","https://openalex.org/W2902782467","https://openalex.org/W3084825885","https://openalex.org/W2298861036","https://openalex.org/W2271181815"],"abstract_inverted_index":{"Delayed":[0],"enhancement":[1],"cardiac":[2,99],"magnetic":[3],"resonance":[4],"imaging":[5],"is":[6,198],"crucial":[7],"in":[8,26,92,98],"identifying":[9],"and":[10,46,61,116,120,143,147,160,178],"monitoring":[11],"heart":[12],"disease.":[13],"Since":[14],"Deep":[15],"Convolutional":[16],"Neural":[17],"networks":[18,52,125],"have":[19,38],"been":[20,78,212],"found":[21],"to":[22,37,58,89,126],"perform":[23,127],"very":[24],"well":[25,204],"different":[27],"computer-assisted":[28],"activities,":[29],"the":[30,42,64,71,94,121,128,150,157,161,169,194,199,206],"use":[31,72],"of":[32,44,73,123,149,176,180],"these":[33,51,124],"automated":[34,86],"methods":[35],"appears":[36],"potential":[39],"for":[40],"reducing":[41],"workload":[43],"radiologists":[45,91],"improving":[47],"workflow":[48],"efficiency.":[49],"Nevertheless,":[50],"rely":[53],"significantly":[54],"on":[55,132,145],"big":[56],"data":[57,74,134],"avoid":[59],"biases":[60],"accurately":[62],"learn":[63],"feature":[65],"conditions.":[66],"To":[67],"address":[68],"this":[69,81],"issue,":[70],"augmentation":[75,209],"techniques":[76],"has":[77,211],"suggested.":[79],"In":[80],"work,":[82],"we":[83],"develop":[84],"an":[85,173],"deep-learning":[87],"method":[88],"assist":[90],"classifying":[93],"left":[95],"ventricle":[96],"segment":[97],"MRI":[100],"images":[101],"by":[102],"using":[103,135,153],"pre-trained":[104],"convolutional":[105],"neural":[106],"networks.":[107],"Four":[108],"popular":[109],"network":[110,139,164],"architectures,":[111],"namely":[112],"GoogLeNet,":[113],"SqueezeNet,":[114],"ResNet-50":[115],"ShuffleNet":[117],"were":[118,130,141],"compared,":[119],"abilities":[122],"task":[129],"examined":[131],"augmented":[133,158],"geometric":[136,207],"transformation.":[137],"All":[138,182],"models":[140],"trained":[142],"tested":[144],"80%":[146],"20%":[148],"images,":[151],"respectively,":[152],"five-fold":[154],"cross-validation.":[155],"On":[156],"dataset":[159],"same":[162],"training":[163],"parameter,":[165],"ResNet50":[166],"architecture":[167],"achieves":[168],"highest":[170],"performance":[171],"with":[172],"average":[174],"accuracy":[175],"97.78%":[177],"F1-score":[179],"0.9776.":[181],"networks\u2019":[183],"performances":[184],"differ":[185],"slightly":[186],"from":[187],"one":[188],"another.":[189],"The":[190],"finding":[191],"shows":[192],"that":[193],"target":[195],"class,":[196],"which":[197],"LV":[200],"segment,":[201],"performs":[202],"exceptionally":[203],"after":[205],"transformation":[208],"technique":[210],"applied.":[213]},"counts_by_year":[],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}