{"id":"W3112503055","doi":"10.18280/ts.370520","title":"Image Based Group Classifier for Brain Tumor Detection Using Machine Learning Technique","year":2020,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Brain tumor; Convolutional neural network; Artificial intelligence; Classifier (UML); Magnetic resonance imaging; Computer science; Human brain; Segmentation; Medicine; Pathology; Psychology; Neuroscience; 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":[0.0006494855,0.0006557829,0.001265452,0.00192994,0.0005033586,0.0007741576,0.001135313,0.001289037,0.002254822],"category_scores_gemma":[0.001552695,0.0002160326,0.0009512206,0.001099842,0.0002776278,0.000819027,0.0004939917,0.0008540627,0.001234901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007072021,"about_ca_system_score_gemma":0.0008319388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004645557,"about_ca_topic_score_gemma":0.003776439,"domain_scores_codex":[0.9993312,0.00006092939,0.00005905761,0.0001686782,0.0002473196,0.0001328277],"domain_scores_gemma":[0.9994573,0.0001285685,0.00006961808,0.00006049781,0.000251241,0.00003282137],"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":[0.000554493,0.0004651435,0.006401881,0.0001855791,0.0001431817,0.0004992449,0.0001149161,0.03388849,0.04130644,0.001852249,0.009235744,0.9053527],"study_design_scores_gemma":[0.00003447205,0.0004254539,0.006180811,0.00004818615,0.00008884817,0.0006579238,0.0001151604,0.9443069,0.03883624,0.002681265,0.006586542,0.00003815024],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1388409,0.00248581,0.8442971,0.0006405333,0.0007313944,0.0005558316,0.00081738,0.004575317,0.007055852],"genre_scores_gemma":[0.6998736,0.0009114727,0.2864213,0.0002723135,0.0002692334,0.000461802,0.002067514,0.0001076547,0.00961506],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004645557,"threshold_uncertainty_score":0.009237051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05781371642069096,"score_gpt":0.2741729132176208,"score_spread":0.2163591967969299,"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."}}