{"id":"W2011088608","doi":"10.1118/1.4795337","title":"Needle segmentation using 3D Hough transform in 3D TRUS guided prostate transperineal therapy","year":2013,"lang":"en","type":"article","venue":"Medical Physics","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research; National Natural Science Foundation of China","keywords":"Hough transform; Brachytherapy; Prostate; Prostate brachytherapy; Segmentation; 3D ultrasound; Medicine; Contouring; Artificial intelligence; Computer vision; Ultrasound; Computer science; Radiology; Radiation therapy; Cancer","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005529496,0.0001149904,0.000131906,0.00002214023,0.00003482584,0.00002122695,0.00009397121,0.00006144701,0.0001399069],"category_scores_gemma":[0.000003124358,0.0001054997,0.00003575107,0.0002180645,0.00003718273,0.0001254925,0.000003732841,0.0001543361,0.00002811803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004835412,"about_ca_system_score_gemma":0.00002523319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001325288,"about_ca_topic_score_gemma":0.00000882899,"domain_scores_codex":[0.9992305,0.000005442814,0.0002196806,0.0001109228,0.0002277593,0.0002057121],"domain_scores_gemma":[0.9997429,0.00002460866,0.00001344426,0.0001069019,0.00001911118,0.00009302249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000082143,0.0003032249,0.001281634,0.0001140649,0.00005738475,0.000005352843,0.004989285,0.08574104,0.02410685,0.0002551533,0.000606373,0.8825314],"study_design_scores_gemma":[0.003045855,0.0000637956,0.00509445,0.00008436259,0.00001983925,0.000005600189,0.0001513611,0.9319584,0.05051076,0.006938989,0.001591258,0.000535271],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8249586,0.00007643054,0.1729506,0.0002735754,0.0001187816,0.0005153889,0.00000643027,0.0001458406,0.000954404],"genre_scores_gemma":[0.996529,0.0001822677,0.00278099,0.0001490776,0.0001659386,0.0001124478,0.00003078047,0.00003301489,0.00001647428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8819962,"threshold_uncertainty_score":0.4302151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02363306761974803,"score_gpt":0.2658691617045651,"score_spread":0.2422360940848171,"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."}}