{"id":"W3007523081","doi":"10.1038/s41598-020-57951-6","title":"On brain atlas choice and automatic segmentation methods: a comparison of MAPER & FreeSurfer using three atlas databases","year":2020,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Epilepsy research and treatment","field":"Medicine","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; Genentech; National Institutes of Health; IXICO; H. Lundbeck A/S; Centre For Medical Engineering, King’s College London; Servier; Eisai; King's College London; Epilepsy Research UK; National Institute on Aging; National Institute for Health and Care Research; Northern California Institute for Research and Education; King's College Hospital NHS Foundation Trust; Pfizer; Biogen; BioClinica; F. Hoffmann-La Roche; Wellcome Trust; University of Southern California; Novartis Pharmaceuticals Corporation; U.S. Department of Defense; Eli Lilly and Company; Bristol-Myers Squibb; Alzheimer's Disease Neuroimaging Initiative; Medical Research Council; Meso Scale Diagnostics; Wellcome; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Segmentation; Atlas (anatomy); Computer science; Artificial intelligence; Pattern recognition (psychology); Magnetic resonance imaging; Medicine; Anatomy; Radiology","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":[0.07627191,0.003493577,0.002811441,0.01120795,0.002257144,0.007731846,0.005331121,0.004414269,0.005815922],"category_scores_gemma":[0.1495648,0.002046893,0.004275203,0.007342837,0.001901031,0.005929484,0.006654508,0.002801292,0.003065804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002584599,"about_ca_system_score_gemma":0.002899409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008895689,"about_ca_topic_score_gemma":0.01395502,"domain_scores_codex":[0.9489868,0.02662412,0.005950932,0.007380995,0.01018136,0.0008756155],"domain_scores_gemma":[0.8766868,0.07957683,0.008752109,0.01745208,0.01619606,0.001336065],"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":[0.02331742,0.001407028,0.07083973,0.01184717,0.02467265,0.0005954335,0.005034887,0.05337284,0.01862227,0.01236146,0.07426599,0.7036631],"study_design_scores_gemma":[0.008604678,0.01171304,0.2913761,0.008762917,0.01920788,0.006804109,0.005235841,0.3382481,0.06850265,0.0647935,0.1735271,0.003224039],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4547081,0.05472333,0.3958474,0.004262472,0.002102911,0.004622469,0.03602687,0.02837096,0.01933552],"genre_scores_gemma":[0.5139906,0.009445295,0.393626,0.001815196,0.0004745099,0.004881615,0.05500749,0.01712438,0.003635005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07627191,"threshold_uncertainty_score":0.4033692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.151900340760534,"score_gpt":0.444200127326038,"score_spread":0.292299786565504,"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."}}