Digital pathology and image analysis for robust high-throughput quantitative assessment of Alzheimer disease neuropathologic changes

Journal of Neuropathology and Experimental Neurology

Volumn 71, Issue 12, 2012, Pages 1075-1085

  Neltner, Janna Hackett ^a   Abner, Erin Lynn ^a   Schmitt, Frederick A ^a   Denison, Stephanie Kay ^a   Anderson, Sonya ^a   Patel, Ela ^a   Nelson, Peter T ^a  

^a UNIVERSITY OF KENTUCKY   (United States)

Author keywords

Alzheimer disease; Autopsy; Digital pathology; Image analysis; Neuropathology

Indexed keywords

AMYLOID BETA PROTEIN; APOLIPOPROTEIN E4; TAU PROTEIN;

ALZHEIMER DISEASE; ARTICLE; BRAIN; CLINICAL ASSESSMENT; COMPUTER PROGRAM; DIGITAL PATHOLOGY; DISEASE SEVERITY; HISTOPATHOLOGY; HUMAN; HUMAN TISSUE; IMAGE ANALYSIS; IMAGING SYSTEM; IMMUNOHISTOCHEMISTRY; LEWY BODY; MAJOR CLINICAL STUDY; MINI MENTAL STATE EXAMINATION; NEOCORTEX; NEUROFIBRILLARY TANGLE; NEUROPATHOLOGY; PATTERN RECOGNITION; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; REGRESSION ANALYSIS; REPRODUCIBILITY; TEMPORAL CORTEX;

ALGORITHMS; ALZHEIMER DISEASE; AMYLOID BETA-PEPTIDES; DIAGNOSIS, COMPUTER-ASSISTED; FEMALE; HUMANS; MALE; NEOCORTEX; NEUROFIBRILLARY TANGLES; PLAQUE, AMYLOID; REGRESSION ANALYSIS; SEVERITY OF ILLNESS INDEX; TAU PROTEINS;

EID: 84870828779     PISSN: 00223069     EISSN: 15546578     Source Type: Journal    
DOI: 10.1097/NEN.0b013e3182768de4     Document Type: Article

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