{"id":"W2018689670","doi":"10.1118/1.3539648","title":"CT image artifacts from brachytherapy seed implants: A postprocessing 3D adaptive median filter","year":2011,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency; University of Victoria; Island Health","funders":"","keywords":"Imaging phantom; Voxel; Contrast-to-noise ratio; Standard deviation; Nuclear medicine; Brachytherapy; Image quality; Hounsfield scale; Reconstruction filter; Streak; Filter (signal processing); Artifact (error); Medicine; Mathematics; Computer science; Radiology; Artificial intelligence; Computed tomography; Physics; Computer vision; Filter design; Radiation therapy; Optics; 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":[0.0007201593,0.0006758165,0.0003288368,0.0006342992,0.0002369735,0.0007755067,0.0005346131,0.0005554841,0.001472613],"category_scores_gemma":[0.001932726,0.0003013369,0.0006472082,0.000397343,0.0003003906,0.0003240538,0.000336542,0.0003860029,0.0004795952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006248239,"about_ca_system_score_gemma":0.0006301467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001769857,"about_ca_topic_score_gemma":0.00235194,"domain_scores_codex":[0.9995949,0.00005542125,0.00002697247,0.00006985806,0.0002196978,0.00003321343],"domain_scores_gemma":[0.9994081,0.0002168535,0.00009251054,0.00005582887,0.0002005796,0.00002609589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006869855,0.0001516647,0.004807093,0.0002555321,0.0001281175,0.000257597,0.0001906579,0.04206682,0.5182923,0.001731386,0.001857051,0.4295747],"study_design_scores_gemma":[0.00005943671,0.000427999,0.01652198,0.00002775454,0.0001823595,0.001122127,0.00004638574,0.5192094,0.4476536,0.001015919,0.01365457,0.00007850054],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03460942,0.0001506536,0.9636006,0.00006819201,0.00002292325,0.00004296942,0.00004683047,0.001016818,0.0004415131],"genre_scores_gemma":[0.171886,0.0001922044,0.8251163,0.00009003704,0.00003919834,0.0001199819,0.0002258589,0.0003440875,0.001986437],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001769857,"threshold_uncertainty_score":0.004926383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02002271764009693,"score_gpt":0.2726347870502308,"score_spread":0.2526120694101338,"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."}}