{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004136066,0.0004349754,0.0002972942,0.001071943,0.0002036799,0.0006271235,0.0005066113,0.0008013445,0.000657387],"category_scores_gemma":[0.001560789,0.0003824104,0.000513932,0.0007066578,0.0004602092,0.0005145447,0.0005034521,0.0003840375,0.0004952722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004683354,"about_ca_system_score_gemma":0.0005446567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00309051,"about_ca_topic_score_gemma":0.002810645,"domain_scores_codex":[0.9993187,0.0001482275,0.00003071471,0.00008963799,0.0003774771,0.00003522427],"domain_scores_gemma":[0.9995543,0.0001651548,0.00008538175,0.00005102672,0.0001235962,0.00002051142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003274369,0.00007850374,0.003166336,0.0003213654,0.00007363829,0.00055699,0.0004038291,0.1838012,0.2634061,0.002135559,0.001171519,0.5445575],"study_design_scores_gemma":[0.00001748959,0.0001295839,0.003791943,0.00002569108,0.00003560647,0.001045692,0.00005305044,0.8736971,0.1160271,0.001426091,0.003697979,0.00005271507],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04492499,0.0006501346,0.9521393,0.0001196886,0.00002704667,0.00005973559,0.00003827455,0.00119861,0.0008422554],"genre_scores_gemma":[0.4022594,0.0007272168,0.5953845,0.0001016378,0.00002285355,0.00006587515,0.0001476188,0.000196229,0.001094655],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00309051,"threshold_uncertainty_score":0.006145,"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."}}