{"id":"W2127407751","doi":"10.1007/978-3-319-07521-1_27","title":"Filter-Based Speckle Tracking for Freehand Prostate Biopsy: Theory, ex vivo and in vivo Results","year":2014,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Speckle noise; Speckle pattern; Computer vision; Artificial intelligence; Prostate biopsy; Filter (signal processing); Noise (video); Prostate; 3D ultrasound; Ultrasound; Acoustics; Physics; Medicine","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":[0.0008214145,0.0004158623,0.0006184345,0.0004088824,0.0002099666,0.0006556548,0.000513141,0.001175907,0.002581646],"category_scores_gemma":[0.001260684,0.0003374709,0.0005849908,0.0005409038,0.0004144465,0.0008490628,0.0003233902,0.0004167219,0.000559692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004556089,"about_ca_system_score_gemma":0.0004812112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002105301,"about_ca_topic_score_gemma":0.003340514,"domain_scores_codex":[0.9996332,0.00007838872,0.00001204207,0.0000507939,0.0002055673,0.00002004853],"domain_scores_gemma":[0.999017,0.0006940009,0.00005358419,0.00006918878,0.0001452074,0.0000210455],"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":[0.0005966641,0.0002622382,0.001877749,0.0005288993,0.0001391162,0.0001349399,0.0002551629,0.07949758,0.4586784,0.007722325,0.001948046,0.4483589],"study_design_scores_gemma":[0.00003299325,0.0003345513,0.005700516,0.00007044993,0.0001024661,0.0008526727,0.00004054846,0.7997289,0.1860695,0.002927097,0.004049274,0.00009105186],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04489587,0.002561562,0.9481176,0.0001041328,0.00004108084,0.00004026199,0.00009665269,0.0004168794,0.003725959],"genre_scores_gemma":[0.3459376,0.004565047,0.6309382,0.0001674576,0.0000784219,0.00007506851,0.000487524,0.000332133,0.01741849],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002581646,"threshold_uncertainty_score":0.008636475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01129290502054963,"score_gpt":0.2190362294069634,"score_spread":0.2077433243864138,"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."}}