%0 Journal Article
%T Radiomics: a novel feature extraction method for brain neuron degeneration disease using 18F-FDG PET imaging and its implementation for Alzheimer¡¯s disease and mild cognitive impairment
%A Chuantao Zuo
%A Huiwei Zhang
%A Jiaying Lu
%A Jiehui Jiang
%A Juanjuan Jiang
%A Yupeng Li
%J Archive of "Therapeutic Advances in Neurological Disorders".
%D 2019
%R 10.1177/1756286419838682
%X Alzheimer¡¯s disease (AD) is the most common form of progressive and irreversible dementia, and accurate diagnosis of AD at its prodromal stage is clinically important. Currently, computer-aided diagnosis of AD and mild cognitive impairment (MCI) using 18F-fluorodeoxy-glucose positron emission tomography (18F-FDG PET) imaging is usually based on low-level imaging features or deep learning methods, which have difficulties in achieving sufficient classification accuracy or lack clinical significance. This research therefore aimed to implement a new feature extraction method known as radiomics, to improve the classification accuracy and discover high-order features that can reveal pathological information
%K 18F-FDG PET
%K Alzheimer¡¯s disease
%K mild cognitive impairment
%K radiomics
%U https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6444412/