{"id":"https://openalex.org/W7123348725","doi":"https://doi.org/10.1109/icspis67605.2025.11318324","title":"Automated Detection of Fatty Liver in CT scans Using Deep Learning","display_name":"Automated Detection of Fatty Liver in CT scans Using Deep Learning","publication_year":2025,"publication_date":"2025-11-18","ids":{"openalex":"https://openalex.org/W7123348725","doi":"https://doi.org/10.1109/icspis67605.2025.11318324"},"language":null,"primary_location":{"id":"doi:10.1109/icspis67605.2025.11318324","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspis67605.2025.11318324","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 8th International Conference on Signal Processing and Information Security (ICSPIS)","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/A5122849943","display_name":"Yahia Abdellatif Ahmed","orcid":null},"institutions":[{"id":"https://openalex.org/I3132931743","display_name":"University of Kigali","ror":"https://ror.org/03v842g47","country_code":"RW","type":"education","lineage":["https://openalex.org/I3132931743"]}],"countries":["RW"],"is_corresponding":true,"raw_author_name":"Yahia Abdellatif Ahmed","raw_affiliation_strings":["University of Medical Sciences and Technology,Department of Biomedical Engineering,Kigali,Rwanda"],"affiliations":[{"raw_affiliation_string":"University of Medical Sciences and Technology,Department of Biomedical Engineering,Kigali,Rwanda","institution_ids":["https://openalex.org/I3132931743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122851495","display_name":"Ehab Ali Abdellatif","orcid":null},"institutions":[{"id":"https://openalex.org/I3132931743","display_name":"University of Kigali","ror":"https://ror.org/03v842g47","country_code":"RW","type":"education","lineage":["https://openalex.org/I3132931743"]}],"countries":["RW"],"is_corresponding":false,"raw_author_name":"Ehab Ali Abdellatif","raw_affiliation_strings":["University of Medical Sciences and Technology,Department of Biomedical Engineering,Kigali,Rwanda"],"affiliations":[{"raw_affiliation_string":"University of Medical Sciences and Technology,Department of Biomedical Engineering,Kigali,Rwanda","institution_ids":["https://openalex.org/I3132931743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122876096","display_name":"Mohamed Salah Gurafi","orcid":null},"institutions":[{"id":"https://openalex.org/I3132931743","display_name":"University of Kigali","ror":"https://ror.org/03v842g47","country_code":"RW","type":"education","lineage":["https://openalex.org/I3132931743"]}],"countries":["RW"],"is_corresponding":false,"raw_author_name":"Mohamed Salah Gurafi","raw_affiliation_strings":["University of Medical Sciences and Technology,Department of Biomedical Engineering,Kigali,Rwanda"],"affiliations":[{"raw_affiliation_string":"University of Medical Sciences and Technology,Department of Biomedical Engineering,Kigali,Rwanda","institution_ids":["https://openalex.org/I3132931743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122873420","display_name":"Jean Felix Habimana","orcid":null},"institutions":[{"id":"https://openalex.org/I3132931743","display_name":"University of Kigali","ror":"https://ror.org/03v842g47","country_code":"RW","type":"education","lineage":["https://openalex.org/I3132931743"]}],"countries":["RW"],"is_corresponding":false,"raw_author_name":"Jean Felix Habimana","raw_affiliation_strings":["University of Medical Sciences and Technology,Department of Research and Innovation,Kigali,Rwanda"],"affiliations":[{"raw_affiliation_string":"University of Medical Sciences and Technology,Department of Research and Innovation,Kigali,Rwanda","institution_ids":["https://openalex.org/I3132931743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5122844855","display_name":"Mushtaq Mahyoob Saleh","orcid":null},"institutions":[{"id":"https://openalex.org/I3132931743","display_name":"University of Kigali","ror":"https://ror.org/03v842g47","country_code":"RW","type":"education","lineage":["https://openalex.org/I3132931743"]}],"countries":["RW"],"is_corresponding":false,"raw_author_name":"Mushtaq Mahyoob Saleh","raw_affiliation_strings":["University of Medical Sciences and Technology,Department of Research and Innovation,Kigali,Rwanda"],"affiliations":[{"raw_affiliation_string":"University of Medical Sciences and Technology,Department of Research and Innovation,Kigali,Rwanda","institution_ids":["https://openalex.org/I3132931743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5122849943"],"corresponding_institution_ids":["https://openalex.org/I3132931743"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.73209729,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T10351","display_name":"Liver Disease Diagnosis and Treatment","score":0.20739999413490295,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/T10351","display_name":"Liver Disease Diagnosis and Treatment","score":0.20739999413490295,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/T10073","display_name":"Hepatocellular Carcinoma Treatment and Prognosis","score":0.17730000615119934,"subfield":{"id":"https://openalex.org/subfields/2721","display_name":"Hepatology"},"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":0.0869000032544136,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.73580002784729},{"id":"https://openalex.org/keywords/fatty-liver","display_name":"Fatty liver","score":0.6983000040054321},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6527000069618225},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.555400013923645},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45820000767707825},{"id":"https://openalex.org/keywords/chronic-liver-disease","display_name":"Chronic liver disease","score":0.4138999879360199},{"id":"https://openalex.org/keywords/scanner","display_name":"Scanner","score":0.38370001316070557},{"id":"https://openalex.org/keywords/computed-tomography","display_name":"Computed tomography","score":0.36399999260902405}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.73580002784729},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7207000255584717},{"id":"https://openalex.org/C2778772119","wikidata":"https://www.wikidata.org/wiki/Q6058862","display_name":"Fatty liver","level":3,"score":0.6983000040054321},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6527000069618225},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.555400013923645},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4948999881744385},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45820000767707825},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.41909998655319214},{"id":"https://openalex.org/C2779102576","wikidata":"https://www.wikidata.org/wiki/Q5113984","display_name":"Chronic liver disease","level":3,"score":0.4138999879360199},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.40860000252723694},{"id":"https://openalex.org/C2779751349","wikidata":"https://www.wikidata.org/wiki/Q1474480","display_name":"Scanner","level":2,"score":0.38370001316070557},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.36399999260902405},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3447999954223633},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.33719998598098755},{"id":"https://openalex.org/C2776145597","wikidata":"https://www.wikidata.org/wiki/Q25339462","display_name":"Dropout (neural networks)","level":2,"score":0.3337000012397766},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.2939999997615814},{"id":"https://openalex.org/C2777075537","wikidata":"https://www.wikidata.org/wiki/Q929737","display_name":"Liver disease","level":2,"score":0.289900004863739},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.28630000352859497},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.28600001335144043},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.28060001134872437},{"id":"https://openalex.org/C163716698","wikidata":"https://www.wikidata.org/wiki/Q841267","display_name":"Tomography","level":2,"score":0.28060001134872437},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.26489999890327454},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.26429998874664307},{"id":"https://openalex.org/C3019831412","wikidata":"https://www.wikidata.org/wiki/Q5778278","display_name":"Fully automatic","level":2,"score":0.2612999975681305},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.2596000134944916}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icspis67605.2025.11318324","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspis67605.2025.11318324","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 8th International Conference on Signal Processing and Information Security (ICSPIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47734493017196655,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Non-alcoholic":[0],"fatty":[1,169],"liver":[2,17,24,170],"disease":[3],"(NAFLD)":[4],"is":[5],"a":[6,12,52,109,161],"globally":[7],"widespread":[8],"metabolic":[9],"disorder":[10],"and":[11,29,36,46,86,103,117,119,134,164],"major":[13],"cause":[14],"of":[15,62,72,93,122,129],"chronic":[16],"disease.":[18],"Traditional":[19],"diagnostic":[20],"methods,":[21],"such":[22,40],"as":[23,41,160],"biopsy,":[25],"are":[26],"invasive,":[27],"time-consuming,":[28],"impractical":[30],"for":[31,58,168],"large-scale":[32],"screenings.":[33],"However,":[34],"ultrasound":[35],"MRI":[37],"face":[38],"limitations":[39],"operator":[42],"dependency,":[43],"high":[44],"cost,":[45],"restricted":[47],"accessibility.":[48],"This":[49,82,155],"study":[50],"proposes":[51],"convolutional":[53,95],"neural":[54],"network":[55],"(CNN)-based":[56],"approach":[57],"the":[59,127,130,143],"automated":[60],"detection":[61],"NAFLD":[63,141],"using":[64,151],"computed":[65],"tomography":[66],"(CT)":[67],"scans.":[68],"A":[69],"dataset":[70],"consisting":[71],"668":[73],"CT":[74,158],"images":[75],"from":[76],"multiple":[77],"sources":[78],"underwent":[79],"strict":[80],"preprocessing.":[81],"includes":[83],"normalization,":[84,102],"resizing,":[85],"extensive":[87],"augmentation.":[88],"The":[89,106],"CNN":[90],"architecture":[91],"consisted":[92],"four":[94],"blocks":[96],"with":[97,113,138],"progressive":[98],"filters":[99],"(32-256),":[100],"batch":[101],"dropout":[104],"regularization.":[105],"model":[107],"achieved":[108,146],"96%":[110],"test":[111],"accuracy":[112],"95%":[114],"sensitivity,":[115],"specificity,":[116],"precision,":[118],"an":[120],"AUC-ROC":[121],"0.99.":[123],"External":[124],"validation":[125],"confirmed":[126],"robustness":[128],"variations":[131],"in":[132],"resolution":[133],"scanner":[135],"type.":[136],"Compared":[137],"recent":[139],"AI-based":[140],"studies,":[142],"proposed":[144],"method":[145],"competitive":[147],"or":[148],"superior":[149],"performance":[150],"imaging":[152],"data":[153],"alone.":[154],"highlights":[156],"CNN-powered":[157],"analysis":[159],"noninvasive,":[162],"accessible,":[163],"highly":[165],"accurate":[166],"solution":[167],"diagnosis.":[171]},"counts_by_year":[],"updated_date":"2026-01-14T00:46:21.520733","created_date":"2026-01-14T00:00:00"}
