{"id":"W4406775555","doi":"10.1002/mp.17626","title":"Three‐dimensional complementary breast ultrasound (3D CBUS): Improving 3D spatial resolution uniformity with orthogonal images","year":2025,"lang":"en","type":"article","venue":"Medical Physics","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"Canadian Institutes of Health Research; Ontario Institute for Cancer Research","keywords":"Image resolution; Computer science; Transducer; Computer vision; Artificial intelligence; 3D ultrasound; Ultrasound; Medicine; Acoustics; Radiology; Physics","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":[0.0007916074,0.0004471091,0.0003667084,0.001104813,0.0001673447,0.0006565833,0.0005120465,0.000493769,0.001133286],"category_scores_gemma":[0.001817671,0.0004651608,0.0003944113,0.000668811,0.000463493,0.0005696247,0.001018945,0.0003682158,0.0002835728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003188882,"about_ca_system_score_gemma":0.0005318026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001055718,"about_ca_topic_score_gemma":0.001611984,"domain_scores_codex":[0.9993581,0.0001341953,0.00004375787,0.0001021813,0.0003166016,0.00004518562],"domain_scores_gemma":[0.9990743,0.0003343741,0.0001613732,0.0001625401,0.0002097416,0.00005765634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003774802,0.0000954709,0.005130743,0.0003479999,0.00005289391,0.0003128099,0.0001747135,0.006134142,0.7820839,0.001755418,0.001250411,0.2022842],"study_design_scores_gemma":[0.0000729399,0.0006071127,0.0222084,0.00009299824,0.0001875558,0.003622243,0.000119664,0.146886,0.8093572,0.00096938,0.01566587,0.0002107774],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2224966,0.002192253,0.7696907,0.0003377727,0.00009832229,0.0002008617,0.0002585903,0.001679068,0.003045785],"genre_scores_gemma":[0.3941032,0.001176931,0.6030031,0.0003257853,0.00006588976,0.0001324989,0.0001701642,0.0001707063,0.0008517166],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001133286,"threshold_uncertainty_score":0.004186451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007116120571554143,"score_gpt":0.2428232443033099,"score_spread":0.2357071237317558,"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."}}