{"id":"W2344280875","doi":"10.1109/bhi.2016.7455865","title":"A semi-automated technique for internal jugular vein segmentation in ultrasound images using active contours","year":2016,"lang":"en","type":"article","venue":"","topic":"Hemodynamic Monitoring and Therapy","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre For Cold Ocean Resources Engineering; Newfoundland and Labrador Centre for Applied Health Research; Memorial University of Newfoundland","funders":"","keywords":"Segmentation; Ultrasound; Speckle pattern; Image segmentation; Volume (thermodynamics); 3D ultrasound","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":[0.001529774,0.0009779264,0.001066425,0.00258156,0.0007425768,0.00138842,0.001635953,0.001551545,0.001306113],"category_scores_gemma":[0.003334995,0.0009056381,0.00110765,0.001977641,0.0007954267,0.001303751,0.0009860721,0.001315296,0.000938584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004306737,"about_ca_system_score_gemma":0.00125121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002440539,"about_ca_topic_score_gemma":0.00355092,"domain_scores_codex":[0.9988625,0.0002239635,0.0001027194,0.0002702113,0.0004757173,0.00006492281],"domain_scores_gemma":[0.9984056,0.0007378884,0.0002149581,0.0002604313,0.0003379443,0.00004321993],"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":[0.0001633981,0.0001193153,0.001005578,0.0002362759,0.00008786582,0.0002131897,0.0003650188,0.03892217,0.1545708,0.004621725,0.003062715,0.796632],"study_design_scores_gemma":[0.00003548848,0.0001820108,0.002927028,0.00005988187,0.00006849207,0.00104292,0.00008587848,0.8844653,0.09434387,0.004911466,0.01174775,0.0001299223],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004426568,0.0001256628,0.9940404,0.00004753845,0.00002253779,0.00007746999,0.00003086953,0.001008838,0.0002199582],"genre_scores_gemma":[0.03977037,0.0001756309,0.9590661,0.0000391425,0.00002390274,0.0001036242,0.0001191059,0.0001818244,0.0005202506],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00258156,"threshold_uncertainty_score":0.008090258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01611959103097594,"score_gpt":0.3371387881131618,"score_spread":0.3210191970821859,"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."}}