{"id":"W1984289039","doi":"10.1007/s11263-009-0241-1","title":"Simplex Mesh Diffusion Snakes: Integrating 2D and 3D Deformable Models and Statistical Shape Knowledge in a Variational Framework","year":2009,"lang":"en","type":"article","venue":"International Journal of Computer Vision","topic":"Medical Image Segmentation Techniques","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ottawa Hospital","funders":"","keywords":"Segmentation; Artificial intelligence; Computer science; Computer vision; Pixel; Simplex; Image segmentation; Tracking (education); Level set (data structures); Process (computing); Pattern recognition (psychology); Mathematics; Geometry","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":[0.00116605,0.0005450446,0.001192793,0.0008739271,0.0003335865,0.001386579,0.001704457,0.001902374,0.001352068],"category_scores_gemma":[0.002753979,0.0009835103,0.001114656,0.0009397742,0.0009639684,0.001598467,0.001720586,0.001271396,0.0005291611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008217351,"about_ca_system_score_gemma":0.001075393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00501903,"about_ca_topic_score_gemma":0.005530649,"domain_scores_codex":[0.9997019,0.00008651771,0.00001602627,0.00004552051,0.0001284845,0.00002157391],"domain_scores_gemma":[0.999415,0.0003151567,0.00005811207,0.00006325764,0.00009603125,0.00005236072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006653327,0.0000350345,0.0005587165,0.00007747685,0.0000778465,0.00007368355,0.0001247868,0.8344936,0.008674212,0.0711062,0.001117663,0.08359424],"study_design_scores_gemma":[0.000002831995,0.000004717978,0.00002472463,0.000002789456,0.000003157656,0.0000114541,0.000003248726,0.9931489,0.0004202416,0.005947132,0.0004256186,0.000005208021],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002815458,0.00008723813,0.9965532,0.00006305624,0.00001320107,0.00001399469,0.0000143912,0.0001287491,0.0003106896],"genre_scores_gemma":[0.1902821,0.000575166,0.8047173,0.000131713,0.00004466939,0.0001235588,0.000125754,0.0004502255,0.003549615],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00501903,"threshold_uncertainty_score":0.009979665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01587468276580944,"score_gpt":0.3394505231651412,"score_spread":0.3235758403993317,"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."}}