{"id":"W7127631676","doi":"10.1109/gcat66372.2025.11368483","title":"MRI Image Segmentation of Brain Tumors Using the U-Net Model","year":2025,"lang":"","type":"article","venue":"","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Segmentation; Image segmentation; Magnetic resonance imaging; Brain tumor; Fuzzy logic; Pattern recognition (psychology); Deep learning; Real-time MRI","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004353163,0.000897681,0.0006414586,0.001164428,0.0003428581,0.001175524,0.001000662,0.001556876,0.001945884],"category_scores_gemma":[0.0009968061,0.0004032108,0.0009521069,0.0006597894,0.0003956655,0.0007258246,0.0005165127,0.0007284619,0.0008419742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001087848,"about_ca_system_score_gemma":0.0008304129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01287322,"about_ca_topic_score_gemma":0.01096873,"domain_scores_codex":[0.999835,0.00002370146,0.0000117741,0.00006034214,0.00003859945,0.00003053983],"domain_scores_gemma":[0.9997832,0.00007313334,0.00003075198,0.00001703442,0.00007847267,0.00001750932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005923737,0.0001369601,0.002409255,0.0001713355,0.0001026174,0.0003237824,0.0001014747,0.7054058,0.0181991,0.003389681,0.004720741,0.2644469],"study_design_scores_gemma":[0.000002900086,0.00002285071,0.0002246551,0.000007443867,0.000007514623,0.000043529,0.000006625145,0.9956385,0.002978632,0.0006775298,0.0003846247,0.000005118608],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1054388,0.002001726,0.8796471,0.0008292653,0.0002353294,0.0001985109,0.0008051954,0.004251864,0.006592079],"genre_scores_gemma":[0.7027254,0.001221683,0.2818756,0.0005361361,0.0001099291,0.0001897382,0.001734263,0.0003517061,0.0112556],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01287322,"threshold_uncertainty_score":0.02559662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04168201193441666,"score_gpt":0.3202935747312644,"score_spread":0.2786115627968477,"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."}}