{"id":"W4316369019","doi":"10.18280/ts.390608","title":"Performance Analysis of Machine Learning and Deep Learning Models for Classification of Alzheimer’s Disease from Brain MRI","year":2022,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Deep learning; Benchmark (surveying); Machine learning; Modalities; Computer science; Disease; Convolutional neural network; Medicine; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003030681,0.00210676,0.0009521306,0.001365447,0.0004306104,0.0009258148,0.001155311,0.001518205,0.001239601],"category_scores_gemma":[0.005518509,0.0003496096,0.001026831,0.0007852819,0.000323858,0.001127803,0.0007080346,0.001425202,0.0007894544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001579631,"about_ca_system_score_gemma":0.001267437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02802268,"about_ca_topic_score_gemma":0.02060266,"domain_scores_codex":[0.9990978,0.0002701696,0.00009395325,0.0001800402,0.0001872067,0.0001707675],"domain_scores_gemma":[0.997497,0.00142664,0.0001620575,0.0001853905,0.0006150914,0.0001137139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001900542,0.0008199111,0.02055168,0.0004156033,0.0006303373,0.000232612,0.00009697588,0.6696249,0.005855769,0.001249605,0.0120195,0.2866025],"study_design_scores_gemma":[0.00001883583,0.0002137122,0.002935025,0.00002705983,0.00004335153,0.00003527986,0.00002887879,0.9929893,0.002719518,0.0005372481,0.0004366882,0.00001505924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9145864,0.01441667,0.05492698,0.001742727,0.0006203139,0.0001528964,0.003052072,0.003079259,0.007422671],"genre_scores_gemma":[0.966164,0.001618807,0.0197207,0.0002304443,0.0001097953,0.00009312228,0.008159172,0.00009620145,0.003807754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02802268,"threshold_uncertainty_score":0.05571914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05844928652496464,"score_gpt":0.2726015851887525,"score_spread":0.2141522986637878,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}