{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007671151,0.001368036,0.0007245796,0.001137044,0.0004996453,0.0005730396,0.001000258,0.001333051,0.002241273],"category_scores_gemma":[0.001758896,0.0004107248,0.0007492304,0.0004618638,0.0004263038,0.0008407836,0.0007813094,0.0005851209,0.0004574744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009829173,"about_ca_system_score_gemma":0.0008497908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009636164,"about_ca_topic_score_gemma":0.0112853,"domain_scores_codex":[0.9997798,0.00003186771,0.00001321261,0.00007969828,0.00003835536,0.00005709195],"domain_scores_gemma":[0.999551,0.0001471602,0.00005217717,0.00004822857,0.0001547219,0.00004677282],"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":[0.001316164,0.0003899981,0.008114298,0.0002552436,0.0002308706,0.0006516936,0.0001709943,0.4609047,0.03028699,0.001968278,0.007635935,0.4880748],"study_design_scores_gemma":[0.00001545495,0.0001716405,0.0009747108,0.00001294429,0.00002789604,0.00006592091,0.00001859663,0.9885556,0.008788949,0.0007976777,0.0005601638,0.00001043481],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5013616,0.003143382,0.4755658,0.0007353481,0.0005586953,0.0003271497,0.0007282561,0.0109062,0.006673568],"genre_scores_gemma":[0.9145529,0.0002395101,0.08010863,0.0003029786,0.00006994927,0.0000824641,0.0006155374,0.0001397407,0.003888151],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.009636164,"threshold_uncertainty_score":0.01916015,"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."}}