{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004713498,0.000818374,0.0006914288,0.0009692669,0.0003011746,0.0005900276,0.0011996,0.001112099,0.001549105],"category_scores_gemma":[0.0006361615,0.0002818685,0.0007588114,0.000720825,0.0002520788,0.0007389541,0.0008042836,0.001035272,0.0006433995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006959405,"about_ca_system_score_gemma":0.0009159197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007710715,"about_ca_topic_score_gemma":0.01020039,"domain_scores_codex":[0.9997007,0.00003621138,0.00001932241,0.00008506012,0.00009416635,0.00006459509],"domain_scores_gemma":[0.9998245,0.00003130858,0.00002017772,0.00001952991,0.00008543896,0.00001910372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002155639,0.0003053109,0.002847367,0.0001193728,0.0001247691,0.0001728666,0.00005523556,0.1150791,0.02339196,0.003778372,0.008370091,0.84554],"study_design_scores_gemma":[0.000008241217,0.00006404798,0.000622177,0.00001142905,0.0000203234,0.00007306911,0.00001082448,0.9903502,0.005293231,0.001995764,0.001541196,0.000009442755],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03695811,0.001149082,0.9568387,0.0004666442,0.0001455218,0.0001062041,0.0003938245,0.001946372,0.001995458],"genre_scores_gemma":[0.6080891,0.001336425,0.3728386,0.0007402475,0.0002490395,0.0002659387,0.002333382,0.0001303538,0.01401687],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007710715,"threshold_uncertainty_score":0.01533169,"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."}}