{"id":"W4323845238","doi":"10.18280/isi.280102","title":"MRI Brain Tumor Identification and Classification Using Deep Learning Techniques","year":2023,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); Artificial intelligence; Deep learning; Brain tumor; Computer science; Pattern recognition (psychology); Medicine; Psychology; Pathology; Biology","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":[0.0005089219,0.0008825815,0.0005969876,0.001935482,0.0002142507,0.0007599178,0.000727877,0.0007962146,0.001089847],"category_scores_gemma":[0.0009219104,0.0002855463,0.0006011829,0.0009947537,0.0002255372,0.0008340318,0.0007931409,0.0007115565,0.0009138715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004679655,"about_ca_system_score_gemma":0.0006057725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003037887,"about_ca_topic_score_gemma":0.004434432,"domain_scores_codex":[0.9995976,0.00006039896,0.00003327141,0.00009395715,0.0001480295,0.00006681329],"domain_scores_gemma":[0.9997451,0.0000532099,0.00006054282,0.00003836844,0.0000839522,0.00001886904],"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":[0.0001587399,0.000211306,0.005120564,0.0001972842,0.0001081373,0.0002861332,0.00006525609,0.05297784,0.05720975,0.003131944,0.005787956,0.8747451],"study_design_scores_gemma":[0.00001176501,0.00008757538,0.003630964,0.00003507637,0.00004188422,0.0004035943,0.00003767493,0.955102,0.03313818,0.003880316,0.003606695,0.00002423384],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07734188,0.00244413,0.9136529,0.0004598568,0.00008907075,0.0001212541,0.0005337247,0.002505099,0.002852126],"genre_scores_gemma":[0.6414912,0.002378374,0.3464917,0.0003168126,0.0001155743,0.0001692007,0.00228775,0.0001306271,0.006618767],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003037887,"threshold_uncertainty_score":0.006040454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03729212538228021,"score_gpt":0.2787430641871003,"score_spread":0.24145093880482,"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."}}