{"id":"W2011810354","doi":"10.1118/1.4788663","title":"2D/3D registration algorithm for lung brachytherapy","year":2013,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Juravinski Cancer Centre; McMaster University; McMaster University Medical Centre","funders":"Varian Medical Systems","keywords":"Image registration; Voxel; Brachytherapy; Mutual information; Computer science; Computer vision; Imaging phantom; Artificial intelligence; Similarity measure; Medical imaging; Similarity (geometry); Algorithm; Nuclear medicine; Medicine; Image (mathematics); Radiology; Radiation therapy","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":[0.000881922,0.000722638,0.0007876007,0.001342881,0.0005446299,0.001156074,0.001173583,0.0009890632,0.00389159],"category_scores_gemma":[0.001551509,0.00059036,0.001372385,0.001128242,0.0004554756,0.0006869373,0.00128458,0.0009298868,0.002435968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006514936,"about_ca_system_score_gemma":0.001267822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001459404,"about_ca_topic_score_gemma":0.00206294,"domain_scores_codex":[0.9989175,0.0002054741,0.00008969296,0.0001917255,0.0005510711,0.00004461622],"domain_scores_gemma":[0.9996265,0.00008727697,0.00006038401,0.00008670867,0.0001227884,0.00001633923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001998883,0.00008846514,0.001154812,0.0002495011,0.00009910481,0.0001985006,0.0001733217,0.1236215,0.07764843,0.00875433,0.007001042,0.780811],"study_design_scores_gemma":[0.00005049999,0.0001261331,0.001680665,0.00002837855,0.00004866078,0.0009253248,0.00003379533,0.9116766,0.04741132,0.005126529,0.03281216,0.00007984999],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001734476,0.0001259997,0.9965162,0.00004896473,0.00002216418,0.0000555427,0.00004002755,0.0009927758,0.000463686],"genre_scores_gemma":[0.04176028,0.0002172789,0.9552094,0.00009072505,0.00002435604,0.0002721068,0.0003627701,0.0003270048,0.001736107],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00389159,"threshold_uncertainty_score":0.01301867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008928316158559178,"score_gpt":0.2924723580704039,"score_spread":0.2835440419118448,"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."}}