{"id":"W3095417235","doi":"10.18280/ts.370407","title":"Deep Neural Networks with Transfer Learning Model for Brain Tumors Classification","year":2020,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Cross-validation; Artificial neural network; Deep learning; Transfer of learning; Computer science; Sagittal plane; Pattern recognition (psychology); Cohen's kappa; Contextual image classification; Magnetic resonance imaging; Machine learning; Image (mathematics); Medicine; Radiology","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":[0.001302663,0.001154523,0.0006048731,0.0007109884,0.0002644183,0.0005748358,0.000925945,0.0009749143,0.00102106],"category_scores_gemma":[0.00295184,0.0002793563,0.0008192803,0.0007270877,0.0002808363,0.000975488,0.0006672248,0.001286631,0.0005152927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001094594,"about_ca_system_score_gemma":0.0008193022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01033249,"about_ca_topic_score_gemma":0.007831899,"domain_scores_codex":[0.9994965,0.0001245061,0.00003610695,0.0001258789,0.0001281589,0.00008881061],"domain_scores_gemma":[0.9992059,0.0003174839,0.00009704567,0.0001053397,0.0002411146,0.00003319449],"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":[0.0003783547,0.0004782056,0.009363906,0.0001365264,0.0002223365,0.0002049521,0.00006752674,0.7640102,0.007902793,0.001069704,0.003526272,0.2126392],"study_design_scores_gemma":[0.000004152719,0.00006173367,0.0009384622,0.00000656295,0.00001531788,0.00002373388,0.000007792313,0.9954673,0.002668901,0.0005869695,0.0002129906,0.000006192947],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5999621,0.003171248,0.3875478,0.0008810732,0.0002173697,0.0001734626,0.001344118,0.003421217,0.003281663],"genre_scores_gemma":[0.9598299,0.0003321557,0.03532295,0.000130166,0.00003408242,0.0001155144,0.001669603,0.00004780646,0.002517867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01033249,"threshold_uncertainty_score":0.02054471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06285771838518829,"score_gpt":0.253521927104187,"score_spread":0.1906642087189987,"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."}}