{"id":"W2490911995","doi":"10.1007/978-3-319-31808-0_3","title":"Atlas-Guided Transcranial Doppler Ultrasound Examination with a Neuro-Surgical Navigation System: Case Study","year":2016,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Medical Image Segmentation Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"NeuroRx Research (Canada); Montreal Neurological Institute and Hospital","funders":"","keywords":"Transcranial Doppler; Computer science; Neurovascular bundle; Computer vision; Landmark; Artificial intelligence; Atlas (anatomy); Brain atlas; Ultrasound; Population; Human skull; Skull; Radiology; Medicine; Anatomy","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":[0.0003491056,0.003465394,0.001780618,0.005472253,0.002873723,0.002449483,0.003467715,0.01147093,0.005385372],"category_scores_gemma":[0.004872778,0.00193003,0.00233277,0.003718957,0.003255272,0.002986764,0.001838538,0.006222785,0.003267232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003271838,"about_ca_system_score_gemma":0.002099615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004914995,"about_ca_topic_score_gemma":0.007863768,"domain_scores_codex":[0.9990795,0.0001133746,0.0001072023,0.0002530593,0.0001835015,0.0002633481],"domain_scores_gemma":[0.9978505,0.0007859134,0.0003449359,0.000302399,0.0001533756,0.00056287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"case_report","study_design_scores_codex":[0.00001506702,0.00004389695,0.0007506539,0.00002014515,0.000006720122,0.9975121,0.00005199536,0.00008311791,0.0002693491,0.00009762732,0.0001482955,0.001001106],"study_design_scores_gemma":[0.000005068864,0.0000410445,0.0007974864,0.00001157832,0.00001289797,0.9980662,0.00005993358,0.000224944,0.0003521135,0.0001298479,0.0002881878,0.00001071204],"study_design_candidate":"case_report","study_design_consensus":"case_report","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8731936,0.02093063,0.03447796,0.0140477,0.002128151,0.0006925205,0.001479714,0.001149641,0.05190009],"genre_scores_gemma":[0.976279,0.003650534,0.008844455,0.003069547,0.002405158,0.0000667491,0.0002250109,0.000146755,0.005312848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01147093,"threshold_uncertainty_score":0.02373892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01889196314031733,"score_gpt":0.2747876160705909,"score_spread":0.2558956529302736,"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."}}