{"id":"W4393211114","doi":"10.30574/wjarr.2024.21.3.0813","title":"A survey on brain MRI segmentation","year":2024,"lang":"en","type":"article","venue":"World Journal of Advanced Research and Reviews","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Segmentation; Artificial intelligence; Computer science","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":[0.001390344,0.001443083,0.00126896,0.008031584,0.0004373332,0.00176119,0.00151944,0.001796252,0.005915761],"category_scores_gemma":[0.005356338,0.0008547275,0.001122381,0.007284307,0.0007894002,0.00265698,0.001042302,0.001018756,0.004592989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007198461,"about_ca_system_score_gemma":0.001457558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003001944,"about_ca_topic_score_gemma":0.003174428,"domain_scores_codex":[0.9989572,0.0001933133,0.0001692668,0.0002386341,0.0003797249,0.00006186182],"domain_scores_gemma":[0.9975695,0.001306259,0.0001644472,0.000161539,0.0007133901,0.00008479666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009747523,0.00003805637,0.001786126,0.006384896,0.0000966184,0.0002343359,0.0001181468,0.002440132,0.002655004,0.003952537,0.04613168,0.936065],"study_design_scores_gemma":[0.0000219911,0.0001760939,0.006166443,0.006820064,0.0002586143,0.005781666,0.0003219843,0.01378616,0.008201495,0.01614129,0.9421729,0.0001512634],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004309201,0.9004517,0.0731056,0.003198483,0.00119126,0.00009798556,0.000961931,0.001329545,0.01535428],"genre_scores_gemma":[0.02072609,0.9189159,0.04723544,0.002017065,0.002555509,0.0001125717,0.003132939,0.0004559984,0.004848462],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008031584,"threshold_uncertainty_score":0.01979017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.176870211476409,"score_gpt":0.4439312169431616,"score_spread":0.2670610054667526,"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."}}