{"id":"W2110116665","doi":"10.1109/ultsym.2009.5441794","title":"Needle path detection for brachytherapy dosimetry based on lateral power imaging and template matching","year":2009,"lang":"en","type":"article","venue":"","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Fluoroscopy; Brachytherapy; Dosimetry; Imaging phantom; Prostate brachytherapy; Medical imaging; Ultrasound; Computer science; Medical physics; Nuclear medicine; Medicine; Computer vision; Artificial intelligence; Radiology; Radiation therapy","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":[0.0009874395,0.0004767787,0.0003501239,0.0008346631,0.0001981583,0.000495633,0.000828672,0.0007465276,0.002230133],"category_scores_gemma":[0.004568407,0.0004907475,0.0004472826,0.0006068677,0.0003333522,0.0008427756,0.0006152748,0.0004199893,0.0009470567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003298463,"about_ca_system_score_gemma":0.000657596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008470474,"about_ca_topic_score_gemma":0.001211067,"domain_scores_codex":[0.9990024,0.0003281602,0.00005333746,0.0001858056,0.0003887422,0.00004153922],"domain_scores_gemma":[0.9989129,0.000467032,0.0001771819,0.0002004636,0.0002013891,0.00004102807],"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":[0.0006487615,0.0001178834,0.003906222,0.000241737,0.00007834969,0.0001746835,0.0002057194,0.01674457,0.2740548,0.002451157,0.001372867,0.7000033],"study_design_scores_gemma":[0.0001867627,0.0008701071,0.01768164,0.00006202966,0.0002123911,0.004936724,0.00009706334,0.5856302,0.3765429,0.004195521,0.009403339,0.0001812414],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02379895,0.0003268228,0.9739545,0.00005481268,0.00001696677,0.00007640413,0.00003758052,0.001170887,0.0005630349],"genre_scores_gemma":[0.1843518,0.0002630444,0.8141087,0.00006443077,0.0000172597,0.0001076677,0.0001393813,0.0002484832,0.0006992794],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002230133,"threshold_uncertainty_score":0.007460535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003460930336582138,"score_gpt":0.2036343838869584,"score_spread":0.2001734535503763,"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."}}