{"id":"W4410295865","doi":"10.1109/isbi60581.2025.10981041","title":"3D Semantic Segmentation of Airway Abnormalities on UTE-MRI with Reinforcement Learning on Deep Supervision","year":2025,"lang":"en","type":"article","venue":"","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Rotman Research Institute, Baycrest","keywords":"Reinforcement learning; Computer science; Segmentation; Airway; Artificial intelligence; Deep learning; Computer vision; Medicine; Surgery","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007208398,0.00100461,0.000642233,0.0004599041,0.0002998232,0.0006033832,0.00113481,0.001229889,0.00149345],"category_scores_gemma":[0.002255569,0.0004371214,0.0006954693,0.000259913,0.0005849843,0.0007479438,0.001085173,0.001276613,0.0004023932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008277502,"about_ca_system_score_gemma":0.001062416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01031173,"about_ca_topic_score_gemma":0.01332984,"domain_scores_codex":[0.999759,0.00005372954,0.00001057157,0.00009768286,0.00004267419,0.00003630007],"domain_scores_gemma":[0.9995422,0.0002154913,0.00004826035,0.00005386985,0.00009911697,0.0000409839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003217563,0.0001569821,0.002838297,0.0001033402,0.00006171244,0.0002092215,0.00007419425,0.817876,0.008699015,0.001621929,0.00281687,0.1652207],"study_design_scores_gemma":[0.000005184198,0.00002267061,0.0001417328,0.000004508893,0.000004125627,0.00001639704,0.000004173717,0.9978223,0.001210235,0.0006047706,0.000161024,0.000002820063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1442115,0.0009960065,0.8454096,0.0006422648,0.0001472735,0.0001478605,0.0003914509,0.004978877,0.003075172],"genre_scores_gemma":[0.8270964,0.0002581588,0.1684164,0.0003929925,0.00004047007,0.000117429,0.0008653799,0.00017753,0.002635223],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01031173,"threshold_uncertainty_score":0.0205034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008992062991280268,"score_gpt":0.2754018225680685,"score_spread":0.2664097595767883,"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."}}