{"id":"W4392013952","doi":"10.1016/j.bspc.2024.106083","title":"A novel stretching factor estimator based on an adaptive bisection method for ultrasound strain imaging","year":2024,"lang":"en","type":"article","venue":"Biomedical Signal Processing and Control","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Concordia University","keywords":"Estimator; Strain (injury); Computer science; Factor (programming language); Ultrasound imaging; Ultrasound; Bisection method; Algorithm; Bisection; Applied mathematics; Mathematics; Artificial intelligence; Computer vision; Acoustics; Statistics; Physics; Geometry; Anatomy; Medicine","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":[0.0008002239,0.0009917378,0.0009974716,0.0009722261,0.0003864873,0.0007359694,0.001222476,0.001240433,0.002365597],"category_scores_gemma":[0.002437114,0.0005072805,0.0005652738,0.0009940364,0.0004266485,0.001423087,0.0007189511,0.00112366,0.001142374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002882811,"about_ca_system_score_gemma":0.000704103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001945897,"about_ca_topic_score_gemma":0.002595906,"domain_scores_codex":[0.9994167,0.0001132176,0.0000387366,0.0001439727,0.0002621706,0.00002514535],"domain_scores_gemma":[0.9989362,0.0004070469,0.0001076579,0.00008577426,0.000409987,0.00005325637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003458355,0.0001419169,0.0008526194,0.0002792951,0.0001103603,0.00007618609,0.00008873549,0.04332666,0.1508277,0.005412857,0.00183176,0.796706],"study_design_scores_gemma":[0.00002874424,0.0001584027,0.0009203443,0.0000270619,0.00004969809,0.0002461514,0.00001834884,0.9639853,0.02789835,0.001449091,0.005157799,0.00006073838],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001791838,0.0001766462,0.997641,0.00002819299,0.00004093802,0.00001496465,0.00001259751,0.0001276647,0.0001661483],"genre_scores_gemma":[0.04494198,0.000454443,0.9524492,0.00006688757,0.0001057709,0.00007620369,0.0001191709,0.00009954591,0.001686784],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002365597,"threshold_uncertainty_score":0.007913709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01460525959710557,"score_gpt":0.3039975966236621,"score_spread":0.2893923370265565,"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."}}