{"id":"W2143830140","doi":"10.1109/tmi.2004.826954","title":"An Interacting Multiple Model Probabilistic Data Association Filter for Cavity Boundary Extraction From Ultrasound Images","year":2004,"lang":"en","type":"article","venue":"IEEE Transactions on Medical Imaging","topic":"Medical Image Segmentation Techniques","field":"Computer Science","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Queen's University","funders":"University of British Columbia","keywords":"Artificial intelligence; Computer vision; Robustness (evolution); Computer science; Image segmentation; Active contour model; Boundary (topology); Level set (data structures); Segmentation; Mathematics; Pattern recognition (psychology)","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":[0.00250477,0.0006610425,0.001295398,0.00111997,0.0006508314,0.0009678787,0.001535178,0.001876162,0.001099973],"category_scores_gemma":[0.006836625,0.0007477482,0.001277356,0.001203335,0.0006761411,0.001587432,0.0009549632,0.001574218,0.000912419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007068545,"about_ca_system_score_gemma":0.001377211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003105959,"about_ca_topic_score_gemma":0.0035745,"domain_scores_codex":[0.9984943,0.0003403144,0.00009400886,0.0003367553,0.0006630173,0.00007163223],"domain_scores_gemma":[0.997607,0.001394756,0.0002323273,0.0002316095,0.0004853865,0.00004890239],"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":[0.0003304541,0.0001383441,0.001724237,0.000247484,0.0001913839,0.0002354072,0.0002256964,0.235737,0.04753714,0.01427425,0.002175804,0.6971828],"study_design_scores_gemma":[0.00001408205,0.00005457513,0.0004272821,0.00001149129,0.00002706957,0.0001386489,0.000009277227,0.9864542,0.007744469,0.002424698,0.002669542,0.00002476999],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001016179,0.00004145279,0.9986917,0.00002105822,0.000008480542,0.000007198023,0.000006391616,0.0001472648,0.00006021408],"genre_scores_gemma":[0.04651927,0.000213282,0.9518842,0.0000819232,0.00004332268,0.0001289492,0.0001078498,0.00008301499,0.0009383485],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003105959,"threshold_uncertainty_score":0.01324666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03316280661924547,"score_gpt":0.3441154613224595,"score_spread":0.310952654703214,"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."}}