{"id":"W4417470776","doi":"10.1109/nss/mic/rtsd57106.2025.11287780","title":"Comparison of Modern Convolutional Neural Networks for Segmentation of Vascular Defects in Ventilation/Perfusion (V/Q) Scans","year":2025,"lang":"","type":"article","venue":"","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Hôpital Maisonneuve-Rosemont; Ottawa Hospital; Jewish General Hospital; University of Ottawa; Mila - Quebec Artificial Intelligence Institute; Carleton University","funders":"","keywords":"Dice; Segmentation; Pattern recognition (psychology); Convolutional neural network; Ground truth; Receiver operating characteristic; Artificial neural network; Centroid","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":[0.003864346,0.001505989,0.0005755087,0.00170389,0.0003553992,0.001036847,0.001041322,0.001451146,0.0007972064],"category_scores_gemma":[0.006324126,0.0005073369,0.0007946334,0.0006598759,0.0003796168,0.001034835,0.0007351177,0.0006999102,0.0003329533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002446762,"about_ca_system_score_gemma":0.001358327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0299379,"about_ca_topic_score_gemma":0.02524529,"domain_scores_codex":[0.9991682,0.0002509916,0.00008819266,0.0001920514,0.0001581534,0.0001425019],"domain_scores_gemma":[0.9977042,0.001237816,0.0001475915,0.0001753552,0.0005926862,0.0001423755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.002539029,0.0003172299,0.02024145,0.0002472082,0.0005601728,0.0001796317,0.0001999523,0.6811994,0.008685283,0.001392081,0.003129693,0.2813089],"study_design_scores_gemma":[0.00001628181,0.0001178769,0.002330541,0.00001462721,0.00003691873,0.00002370452,0.00002628387,0.994364,0.002491998,0.0003101414,0.0002564372,0.00001114244],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.865613,0.003349777,0.1197146,0.0006781886,0.0002606464,0.0001663435,0.000797864,0.004026599,0.005393006],"genre_scores_gemma":[0.9499209,0.0008279578,0.04530014,0.0002074141,0.00003826321,0.00007234125,0.001474857,0.0001514491,0.002006673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0299379,"threshold_uncertainty_score":0.05952728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0233382087950664,"score_gpt":0.3280444008257059,"score_spread":0.3047061920306394,"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."}}