{"id":"W1967789417","doi":"10.1118/1.3244150","title":"Poster — Wed Eve—46: Quantitative Evaluation on the Accuracy of Image Registration Methods in SPECT Guided Radiation Therapy for Lung Cancer Patients","year":2009,"lang":"en","type":"article","venue":"Medical Physics","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver General Hospital; Simon Fraser University; University of British Columbia; BC Cancer Agency","funders":"","keywords":"Image registration; Nuclear medicine; Single-photon emission computed tomography; Artificial intelligence; Medical imaging; Radiation treatment planning; Computer science; Medicine; Computer vision; Radiation therapy; Radiology; Image (mathematics)","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":[0.003909879,0.0004731468,0.000301551,0.001085184,0.0002298284,0.0008732108,0.0004260563,0.00066925,0.003428926],"category_scores_gemma":[0.009356721,0.0002036731,0.0005186821,0.0003994702,0.0003300149,0.0003778288,0.0004489167,0.0002839662,0.001063399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003596468,"about_ca_system_score_gemma":0.0001931045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008236204,"about_ca_topic_score_gemma":0.000713539,"domain_scores_codex":[0.9983971,0.0007155306,0.0001257174,0.0001961998,0.0005109113,0.0000546161],"domain_scores_gemma":[0.997196,0.001255596,0.0003512691,0.0003555589,0.0007629911,0.00007864146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.008484035,0.0007574271,0.1282565,0.001090666,0.0006862608,0.000472096,0.0007402794,0.05112428,0.2048411,0.000792766,0.003945185,0.5988095],"study_design_scores_gemma":[0.0004782384,0.009375853,0.3351833,0.000151261,0.0008503455,0.003672706,0.000414144,0.240733,0.3976244,0.000825974,0.01046144,0.0002293922],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9331462,0.002314931,0.05633927,0.0002855307,0.0001984288,0.000302299,0.0006754113,0.001074794,0.00566315],"genre_scores_gemma":[0.9670889,0.0003710838,0.02951466,0.00003785917,0.00005529071,0.00008639792,0.0005773151,0.0002160662,0.002052479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003909879,"threshold_uncertainty_score":0.02067769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05671471116661623,"score_gpt":0.4786747261087563,"score_spread":0.42196001494214,"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."}}