{"id":"W4387965005","doi":"10.1002/mp.16811","title":"Deep learning‐based ultrasound auto‐segmentation of the prostate with brachytherapy implanted needles","year":2023,"lang":"en","type":"article","venue":"Medical Physics","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials; London Health Sciences Centre; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; London Health Sciences Foundation","keywords":"Prostate brachytherapy; Brachytherapy; 3D ultrasound; Segmentation; Coronal plane; Ultrasound; Convolutional neural network; Medicine; Artificial intelligence; Prostate; Sagittal plane; Nuclear medicine; Computer science; Deep learning; Radiology; Radiation therapy","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":[0.0004319709,0.0009628503,0.0006042162,0.0008844508,0.0002297173,0.0005644393,0.0009857828,0.0009189853,0.001013554],"category_scores_gemma":[0.001071775,0.000537387,0.0009370588,0.0006448464,0.000333071,0.0004346301,0.0005727485,0.0005782573,0.0004546606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001131699,"about_ca_system_score_gemma":0.001182018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01718814,"about_ca_topic_score_gemma":0.0197972,"domain_scores_codex":[0.9997229,0.00003427736,0.00001750895,0.0001038398,0.00005942936,0.00006202312],"domain_scores_gemma":[0.9996365,0.0001203751,0.00006126367,0.0000552786,0.0001022783,0.00002434822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005117386,0.0001993177,0.005852676,0.0002502162,0.0001462683,0.0003678127,0.0001089588,0.6490226,0.0341737,0.0008885335,0.0042616,0.3042166],"study_design_scores_gemma":[0.000007798,0.00004680903,0.001209829,0.00001311829,0.00001839062,0.0000742515,0.000009011312,0.9884565,0.009154708,0.0003839777,0.0006183416,0.000007259717],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5135259,0.002332002,0.4676777,0.0005127719,0.0001801586,0.0002615381,0.001641792,0.008743536,0.005124715],"genre_scores_gemma":[0.8807108,0.0004881095,0.1099304,0.0002541271,0.00005093343,0.00009906384,0.003688485,0.0002536477,0.004524419],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01718814,"threshold_uncertainty_score":0.03417617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01263418582666635,"score_gpt":0.2758784527392864,"score_spread":0.26324426691262,"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."}}