{"id":"W2100217050","doi":"10.1109/iembs.2005.1616162","title":"3D TRUS Image Segmentation in Prostate Brachytherapy","year":2005,"lang":"en","type":"article","venue":"","topic":"Medical Image Segmentation Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials","funders":"","keywords":"Brachytherapy; Imaging phantom; Prostate; Prostate brachytherapy; Ultrasound; Prostate cancer; Medicine; Radiation treatment planning; Radiology; 3D ultrasound; Image segmentation; Segmentation; Nuclear medicine; Computer science; Artificial intelligence; Radiation therapy; Cancer","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":[0.0006546788,0.0005493517,0.0005192235,0.001628307,0.0003315832,0.001052645,0.0005968508,0.001098188,0.001337811],"category_scores_gemma":[0.002062885,0.0007608352,0.0006436193,0.001764754,0.0005182133,0.0006101546,0.0003564787,0.0004540977,0.00114448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006133012,"about_ca_system_score_gemma":0.0004917343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003874114,"about_ca_topic_score_gemma":0.00391897,"domain_scores_codex":[0.9991001,0.0003016879,0.00005319576,0.0001274409,0.0003767336,0.00004084386],"domain_scores_gemma":[0.9992309,0.0003124128,0.0001054387,0.0001020026,0.0002156945,0.00003356849],"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":[0.0004258985,0.00006386096,0.001656837,0.0005370599,0.00007354973,0.0004803616,0.0005059221,0.07231753,0.2797242,0.004244668,0.003352961,0.6366171],"study_design_scores_gemma":[0.00003668326,0.0002944765,0.01083742,0.0001015652,0.0001170241,0.003861334,0.000146042,0.6099043,0.334857,0.003654126,0.03599227,0.0001977534],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03646079,0.006148974,0.9501711,0.0002738746,0.00009414989,0.0001359127,0.0001832607,0.002891067,0.003640907],"genre_scores_gemma":[0.2343306,0.004454151,0.7567676,0.0001828755,0.0001001715,0.00008750438,0.0003896267,0.0006886072,0.002998831],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003874114,"threshold_uncertainty_score":0.007703125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008721355646703953,"score_gpt":0.2901038038119102,"score_spread":0.2813824481652062,"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."}}