{"id":"W4377832596","doi":"10.18280/ts.400219","title":"Classification of Brain Tumors from MR Images Using a New CNN Architecture","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Computer science; Architecture; Pattern recognition (psychology); Computer vision; Geography; Archaeology","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":[0.0003442647,0.0007972342,0.0003128072,0.0004701533,0.0001678296,0.0004690487,0.0006942115,0.0005973217,0.001332409],"category_scores_gemma":[0.0007453937,0.0002622736,0.0004961187,0.0003361487,0.0001515224,0.0006150746,0.0003795153,0.0005600805,0.0005559996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006291119,"about_ca_system_score_gemma":0.0005243134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008849555,"about_ca_topic_score_gemma":0.0156264,"domain_scores_codex":[0.9998597,0.0000111286,0.000009789242,0.00004379909,0.00004740867,0.00002811741],"domain_scores_gemma":[0.9998378,0.00002377523,0.00001802255,0.00002959056,0.00008206466,0.000008772233],"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":[0.0003511254,0.0002202845,0.008488469,0.0001947884,0.0002458468,0.0002753806,0.00007461035,0.2346409,0.1122876,0.002942588,0.006150542,0.6341279],"study_design_scores_gemma":[0.000006795117,0.0001127858,0.003509041,0.00001320017,0.00003867746,0.0001210074,0.00001285519,0.9753048,0.01832942,0.0008274023,0.001711759,0.00001233493],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2816409,0.001170687,0.7045568,0.0005108079,0.0002330608,0.0001615741,0.0009243126,0.004695462,0.006106357],"genre_scores_gemma":[0.8287822,0.0008442181,0.1564693,0.0001797448,0.00005458599,0.0001234606,0.002332037,0.00009827015,0.01111618],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008849555,"threshold_uncertainty_score":0.01759613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07059762833441349,"score_gpt":0.2915786209956344,"score_spread":0.2209809926612209,"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."}}