{"id":"W2913181200","doi":"10.1101/550517","title":"Dilated Saliency U-Net for White Matter Hyperintensities Segmentation using Irregularity Age Map","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Janssen Alzheimer Immunotherapy Research And Development; National Institute on Aging; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; Directorate for Biological Sciences; National Institutes of Health; Genentech; IXICO; Lembaga Pengelola Dana Pendidikan; H. Lundbeck A/S; Servier; Eisai; Johnson and Johnson Pharmaceutical Research and Development; Mrs Gladys Row Fogo Charitable Trust; Northern California Institute for Research and Education; Pfizer; Biogen; BioClinica; F. Hoffmann-La Roche; Biotechnology and Biological Sciences Research Council; University of Southern California; Eli Lilly and Company; U.S. Department of Defense; Meso Scale Diagnostics; Alzheimer's Disease Neuroimaging Initiative; Novartis Pharmaceuticals Corporation; Bristol-Myers Squibb; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Segmentation; Hyperintensity; Artificial intelligence; Fluid-attenuated inversion recovery; Context (archaeology); Pattern recognition (psychology); Computer science; Magnetic resonance imaging; White matter; Image segmentation; Medicine; Radiology; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004022219,0.0005117571,0.000475718,0.0002974285,0.0002917381,0.0004599439,0.0004569804,0.000435457,0.0001528294],"category_scores_gemma":[0.0001850848,0.0005735502,0.0001972592,0.0003467442,0.0001772904,0.0002944287,0.000264687,0.0005477935,0.0002197472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004012232,"about_ca_system_score_gemma":0.0002742625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002943776,"about_ca_topic_score_gemma":0.000001715077,"domain_scores_codex":[0.9969601,0.0002295797,0.0005812044,0.001296436,0.0004051001,0.0005275629],"domain_scores_gemma":[0.9977443,0.00009423424,0.0005705497,0.001106831,0.0003296987,0.0001544021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006846121,0.0000755763,0.003083475,0.0004452485,0.000019979,0.00001202562,0.00002707869,0.0003195368,0.9951587,0.0002640444,0.0005248172,0.000001015698],"study_design_scores_gemma":[0.0006569542,0.00005004027,0.1042102,0.0002418182,0.0001040488,1.39251e-7,0.00001921527,0.01137649,0.8790843,0.00001238178,0.003323471,0.0009209285],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9693953,0.00005759846,0.02322718,0.000539118,0.00398982,0.00183653,0.0004560429,0.00047279,0.00002565215],"genre_scores_gemma":[0.994037,0.00001711152,0.003962027,0.001201806,0.0002765752,0.0002420927,0.000001816628,0.0001449095,0.000116715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1160745,"threshold_uncertainty_score":0.9996716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03768021759059528,"score_gpt":0.2504741395530972,"score_spread":0.2127939219625019,"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."}}