{"id":"W2170681857","doi":"10.1109/tuffc.2015.007134","title":"Nonlocal means filter-based speckle tracking","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Speckle pattern; Filter (signal processing); Speckle noise; Computer science; Computer vision; Artificial intelligence; Tracking (education); Displacement (psychology); Rician fading; Image plane; Algorithm; Mathematics; Image (mathematics)","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":[0.0007890543,0.0004782111,0.0008258518,0.0006822519,0.0002788404,0.0005749062,0.0008180891,0.0007653218,0.001107959],"category_scores_gemma":[0.001568628,0.0003272316,0.0007936376,0.0007486352,0.0003678759,0.0009345752,0.0006659146,0.000518642,0.000499806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006527788,"about_ca_system_score_gemma":0.0009333805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002625747,"about_ca_topic_score_gemma":0.004516706,"domain_scores_codex":[0.9993273,0.000108372,0.00002918741,0.0001441184,0.0003580148,0.00003304873],"domain_scores_gemma":[0.9994394,0.0002037853,0.00008275866,0.00007266451,0.0001846527,0.00001666685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002199876,0.0001218349,0.002456493,0.0002070332,0.0001398579,0.0001155736,0.0002464319,0.3085402,0.08339046,0.01841407,0.00317685,0.5829712],"study_design_scores_gemma":[0.000007429677,0.00002773297,0.000401747,0.00000541973,0.00001051146,0.00004263073,0.000005126435,0.9892747,0.007965473,0.001217854,0.001029327,0.00001202415],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005520778,0.00009105113,0.9937098,0.00002620028,0.00001614082,0.00001020839,0.00001317966,0.0001789566,0.0004337052],"genre_scores_gemma":[0.2472554,0.0004501386,0.7454697,0.0001167959,0.00006026481,0.0001339563,0.0002845608,0.0001282814,0.006100888],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002625747,"threshold_uncertainty_score":0.00522095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02300203770194881,"score_gpt":0.2499713198973384,"score_spread":0.2269692821953896,"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."}}