{"id":"W3207523440","doi":"10.3390/diagnostics11101893","title":"Automated Segmentation of Median Nerve in Dynamic Sonography Using Deep Learning: Evaluation of Model Performance","year":2021,"lang":"en","type":"article","venue":"Diagnostics","topic":"Peripheral Nerve Disorders","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"Ministry of Science and Technology, Taiwan","keywords":"Segmentation; Median nerve; Artificial intelligence; Deep learning; Wrist; Medicine; Carpal tunnel syndrome; Computer science; Radiology; Anatomy","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":[0.002246137,0.001902142,0.0009159894,0.00104171,0.0003725734,0.0008238358,0.001031732,0.001703384,0.001013209],"category_scores_gemma":[0.003377835,0.0003698581,0.0007545566,0.0005755359,0.0004382699,0.0007740746,0.0008319379,0.0009435636,0.000424005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001174224,"about_ca_system_score_gemma":0.001369982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02123552,"about_ca_topic_score_gemma":0.01680257,"domain_scores_codex":[0.9994047,0.000126466,0.00005617101,0.0001973851,0.0001074703,0.0001078991],"domain_scores_gemma":[0.9989127,0.0005602186,0.0001031864,0.0001104698,0.0002409732,0.00007231616],"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":[0.001264255,0.0005106054,0.01678507,0.0003243838,0.0003494383,0.0002943868,0.0001614398,0.7448669,0.01524858,0.0005567755,0.003505704,0.2161325],"study_design_scores_gemma":[0.00001096922,0.0001319093,0.001049215,0.00001433803,0.00002133678,0.00003558055,0.00002324944,0.9950002,0.003357843,0.0001596328,0.0001880001,0.000007730964],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8743317,0.003543883,0.1116752,0.000601595,0.0002892357,0.000185997,0.001200455,0.005180747,0.002991134],"genre_scores_gemma":[0.9548547,0.0004999799,0.04045568,0.00020376,0.00002915843,0.00009321636,0.00204276,0.0001393504,0.001681318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02123552,"threshold_uncertainty_score":0.04222387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03721722020507704,"score_gpt":0.3454066700992385,"score_spread":0.3081894498941614,"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."}}