{"id":"W4382394896","doi":"10.18280/ts.400329","title":"A Novel Deep Learning Approach for Brain Tumors Classification Using MRI Images","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Princess Nourah Bint Abdulrahman University","keywords":"Computer science; Convolutional neural network; Artificial intelligence; Preprocessor; Pattern recognition (psychology); Process (computing); Deep learning; Magnetic resonance imaging; Artificial neural network; Machine learning; Radiology; Medicine","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":[0.0006719737,0.0001693445,0.0001472978,0.0002360788,0.0004951193,0.0001295093,0.0002099777,0.00005830307,0.00007841734],"category_scores_gemma":[0.0003078103,0.0001728575,0.0001041792,0.0007223211,0.00009625797,0.0002284941,0.00003084268,0.0001727338,0.00004278289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009575433,"about_ca_system_score_gemma":0.00003620229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005185387,"about_ca_topic_score_gemma":8.987832e-7,"domain_scores_codex":[0.9982643,0.0001320497,0.0003373061,0.0005596831,0.0003446321,0.0003621051],"domain_scores_gemma":[0.9992064,0.0002987902,0.0001967306,0.0001561262,0.00005399231,0.00008798679],"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":[0.00004517828,0.0001071768,0.0000722794,0.00003834665,0.000004715991,0.000001103293,0.0003201283,0.01041652,0.9775442,0.002790003,0.0004058476,0.008254531],"study_design_scores_gemma":[0.0008252263,0.00009507081,0.005029881,0.00001154262,0.00001380851,0.00002321325,0.0007672479,0.8678639,0.1223647,0.000132503,0.002657598,0.000215305],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1256227,0.000005188669,0.870289,0.001234301,0.0001305141,0.0008083355,0.00002091258,0.0005496004,0.001339414],"genre_scores_gemma":[0.9935392,0.000004048816,0.00465974,0.0004483881,0.0001819363,0.0002493792,0.00005357106,0.00004066717,0.0008230851],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8679165,"threshold_uncertainty_score":0.7048926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09709413902451315,"score_gpt":0.3019950199293458,"score_spread":0.2049008809048327,"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."}}