{"id":"W3089729707","doi":"10.18280/isi.250412","title":"Classification of Brain Tumors Using Convolutional Neural Network over Various SVM Methods","year":2020,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Convolutional neural network; Support vector machine; Computer science; Artificial intelligence; Pattern recognition (psychology); Artificial neural network","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":[0.000602033,0.0007873463,0.0005319247,0.001404433,0.0001983118,0.000626463,0.0005731838,0.0006323987,0.001134614],"category_scores_gemma":[0.0009229453,0.00016269,0.0006947522,0.0007490313,0.0001639041,0.0006380359,0.000333785,0.000455386,0.0004562987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000546024,"about_ca_system_score_gemma":0.0004077072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005517868,"about_ca_topic_score_gemma":0.004810492,"domain_scores_codex":[0.9997163,0.00003617177,0.00002743826,0.00006703179,0.00009164956,0.00006138918],"domain_scores_gemma":[0.999703,0.00007806712,0.00003805511,0.00002893424,0.0001332377,0.00001867317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004829039,0.0003655813,0.01118696,0.000183386,0.0001774867,0.0001868448,0.00005597278,0.1095319,0.0254802,0.001784737,0.00456373,0.8460003],"study_design_scores_gemma":[0.000006765399,0.0000925417,0.003741539,0.00001815716,0.00003746958,0.00009793787,0.00001895083,0.986252,0.008037225,0.0005830754,0.001103016,0.000011204],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3231493,0.004327301,0.660589,0.0005672445,0.0005317646,0.0002262487,0.0009703063,0.003084962,0.00655386],"genre_scores_gemma":[0.9110417,0.001131446,0.08057094,0.0001192128,0.0001069567,0.00007357939,0.001227429,0.00004295841,0.005685656],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005517868,"threshold_uncertainty_score":0.01097149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06643427769456535,"score_gpt":0.3095145502254098,"score_spread":0.2430802725308445,"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."}}