{"id":"W4390270716","doi":"10.18280/ria.370618","title":"A Systematic Review of Brain MRI Segmentation and Uncertainty Modeling Using Evidence Theory with Implementation of Fuzzy Clustering and Fuzzy Inference Systems Methods","year":2023,"lang":"en","type":"review","venue":"Revue d intelligence artificielle","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fuzzy logic; Artificial intelligence; Segmentation; Adaptive neuro fuzzy inference system; Computer science; Inference; Fuzzy inference system; Fuzzy inference; Cluster analysis; Fuzzy clustering; Machine learning; Pattern recognition (psychology); Data mining; Fuzzy control system","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":[0.004201239,0.001428419,0.00334099,0.01061757,0.0004549886,0.001804979,0.001855361,0.001755023,0.003250278],"category_scores_gemma":[0.01462422,0.0007259951,0.002589749,0.008743454,0.0008453836,0.001992987,0.001007083,0.001119751,0.00069037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001671171,"about_ca_system_score_gemma":0.007389875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004916796,"about_ca_topic_score_gemma":0.01057968,"domain_scores_codex":[0.9976705,0.000763446,0.000684187,0.0002426894,0.000586664,0.00005251319],"domain_scores_gemma":[0.9900474,0.007871935,0.0008252797,0.0001750156,0.0009780161,0.0001022736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00007762213,0.00003349489,0.0002906496,0.3341937,0.001143993,0.0001755978,0.0001845838,0.0008320067,0.0003971224,0.004582747,0.01009254,0.6479959],"study_design_scores_gemma":[0.00007454538,0.0002853913,0.003376208,0.4794697,0.007349641,0.00176793,0.0003247767,0.001018457,0.00074163,0.009546718,0.4959239,0.0001209928],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00008212536,0.998604,0.0006687489,0.0002326045,0.00008088352,0.00002716072,0.00004299814,0.000005947065,0.0002555231],"genre_scores_gemma":[0.001073013,0.9971532,0.001402318,0.0001358262,0.00006744121,0.00004298549,0.00004466933,0.00000235841,0.00007819819],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01061757,"threshold_uncertainty_score":0.02221853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2511293006561872,"score_gpt":0.4541057261316988,"score_spread":0.2029764254755116,"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."}}