{"id":"W4298009653","doi":"10.18280/ts.390430","title":"A Novel Fusion Approach to Detect Brain Tumor Using Machine Learning for MRI Images","year":2022,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Artificial intelligence; Segmentation; Novelty; Support vector machine; Pattern recognition (psychology); Feature extraction; Image segmentation; Artificial neural network; Machine learning","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":[0.0009928941,0.0006998096,0.000955736,0.001779484,0.0004568042,0.0009019648,0.00100035,0.001034654,0.001766758],"category_scores_gemma":[0.001167831,0.000299439,0.001128574,0.001252864,0.0003824807,0.001175183,0.001026852,0.0007016837,0.001047517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005098768,"about_ca_system_score_gemma":0.0006653633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00168731,"about_ca_topic_score_gemma":0.002180125,"domain_scores_codex":[0.9993622,0.00007061549,0.00003986538,0.0001506126,0.0002887076,0.00008802986],"domain_scores_gemma":[0.9995996,0.00007948113,0.0000566009,0.00006066937,0.0001757701,0.00002785998],"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":[0.0002872484,0.0002390771,0.003626803,0.0001463341,0.000217016,0.0002139885,0.0001432452,0.05635274,0.08248015,0.005374699,0.00277703,0.8481417],"study_design_scores_gemma":[0.00001074538,0.0002034555,0.003348797,0.00001599194,0.00007795079,0.0003426327,0.00005309231,0.9552063,0.03214863,0.004920087,0.00364367,0.00002866444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01869541,0.0003053557,0.9784341,0.0001206144,0.00005187209,0.00005405549,0.00008154262,0.001103843,0.001153276],"genre_scores_gemma":[0.4487925,0.0004279211,0.5459933,0.0001582969,0.0001289792,0.0001205568,0.0004583467,0.0001059104,0.003814176],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001779484,"threshold_uncertainty_score":0.005910456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05784443938428132,"score_gpt":0.2752272804402687,"score_spread":0.2173828410559873,"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."}}