{"id":"W4236999596","doi":"10.1109/iembs.2006.4397422","title":"Towards Real-time Registration of 4D Ultrasound Images","year":2006,"lang":"en","type":"article","venue":"Conference proceedings","topic":"Medical Image Segmentation Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer vision; Artificial intelligence; Computer science; Feature (linguistics); Image registration; Tracking (education); Process (computing); Image (mathematics)","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":[0.001941771,0.0008438372,0.0006679657,0.001442147,0.0003425068,0.001370815,0.001397897,0.001450624,0.002215325],"category_scores_gemma":[0.005011673,0.0008421575,0.0008212888,0.001277642,0.0008478989,0.001382975,0.00199271,0.001476364,0.002224471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000320437,"about_ca_system_score_gemma":0.0006150271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008808022,"about_ca_topic_score_gemma":0.001070249,"domain_scores_codex":[0.9982831,0.0004753267,0.0001059854,0.0003021954,0.0007588372,0.00007448994],"domain_scores_gemma":[0.9985519,0.0004358613,0.0002123896,0.000476926,0.0002660746,0.00005685812],"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":[0.0003534852,0.00007556361,0.0008707132,0.0002241008,0.00008708498,0.0002185755,0.0005305732,0.07878922,0.2867916,0.01175273,0.002775464,0.617531],"study_design_scores_gemma":[0.00005683372,0.0002806253,0.001846142,0.00006158178,0.00004859655,0.001261181,0.000198538,0.747495,0.2015705,0.01226075,0.03482274,0.00009760873],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003896547,0.0000872383,0.994938,0.00005291069,0.00002295518,0.00001917397,0.00001365876,0.0007266098,0.0002428584],"genre_scores_gemma":[0.04115513,0.0002203374,0.9570287,0.00005270938,0.0000309739,0.00005296127,0.00009929339,0.0002769269,0.00108299],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002215325,"threshold_uncertainty_score":0.01026917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01476986115497428,"score_gpt":0.2649113938666748,"score_spread":0.2501415327117005,"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."}}