{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004087189,0.0001025046,0.0001994329,0.00026189,0.0003320031,0.00001597589,0.000119078,0.00001803033,0.0004066719],"category_scores_gemma":[0.00007477785,0.0001093788,0.000108826,0.0005320185,0.00007245572,0.0001411434,0.0000444121,0.0001519003,5.213913e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003120943,"about_ca_system_score_gemma":0.00002170118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001832277,"about_ca_topic_score_gemma":0.000005108287,"domain_scores_codex":[0.9985724,0.0002545046,0.0003625192,0.0003388645,0.0003417688,0.0001299327],"domain_scores_gemma":[0.9991159,0.0003027176,0.0003646608,0.0001086507,0.00004073296,0.00006736022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005389756,0.0002346792,0.01821615,0.00003850674,0.0001810396,6.54101e-7,0.001358556,0.3139563,0.6307425,0.002071382,0.00001861881,0.03264259],"study_design_scores_gemma":[0.0004789117,0.0001788777,0.05824107,0.000004121916,0.0003893774,3.799416e-7,0.0003033363,0.9281222,0.01141545,0.0001144605,0.0006536236,0.00009821406],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9539194,0.000181279,0.04469486,0.0004779139,0.00003904802,0.0003482061,0.0001249821,0.00004828422,0.0001660588],"genre_scores_gemma":[0.9993216,0.00004570457,0.0001718504,0.00009145301,0.00001559318,0.0001293026,0.0001332031,0.00001326065,0.00007798461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6193271,"threshold_uncertainty_score":0.4460336,"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."}}