{"id":"W2051684526","doi":"10.1118/1.4906129","title":"Rotationally resliced 3D prostate TRUS segmentation using convex optimization with shape priors","year":2015,"lang":"en","type":"article","venue":"Medical Physics","topic":"Medical Image Segmentation Techniques","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Prior probability; Regular polygon; Segmentation; Prostate; Artificial intelligence; Medicine; Computer vision; Computer science; Mathematics; Geometry; Bayesian probability; Internal medicine","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":[0.0006645119,0.00100389,0.0007764628,0.000751855,0.000356378,0.000999117,0.001082208,0.001114713,0.0008025075],"category_scores_gemma":[0.001715442,0.0008537084,0.00127308,0.0005679276,0.0007227868,0.0007826918,0.0009732349,0.001077956,0.0006940068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007782676,"about_ca_system_score_gemma":0.001384178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004458726,"about_ca_topic_score_gemma":0.004656321,"domain_scores_codex":[0.9995731,0.00009575385,0.00002310727,0.0000985057,0.0001793162,0.0000302165],"domain_scores_gemma":[0.9995195,0.0001846121,0.00009699746,0.00007518149,0.00009532169,0.0000284106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001493585,0.00005773923,0.0006147132,0.0001172532,0.00005865173,0.0001623913,0.0001414559,0.8317131,0.03023492,0.003554088,0.001879515,0.1313168],"study_design_scores_gemma":[0.000003997604,0.00001148609,0.0001044532,0.000004045856,0.000004481465,0.00003834109,0.000004365195,0.9957166,0.003057678,0.0006517255,0.0003955798,0.000007270973],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009831831,0.0001200015,0.988613,0.0001155108,0.000011001,0.00003720463,0.00003975916,0.0006029565,0.0006288151],"genre_scores_gemma":[0.2078573,0.0003468679,0.7884687,0.0002011166,0.00004163608,0.0001657606,0.0004415345,0.000568251,0.001908847],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004458726,"threshold_uncertainty_score":0.008865535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03328583903692379,"score_gpt":0.3018932922652869,"score_spread":0.2686074532283632,"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."}}