Dual-functional neural network for bilateral hippocampi segmentation and diagnosis of Alzheimer's disease.
Journal:
International journal of computer assisted radiology and surgery
Published Date:
Dec 27, 2019
Abstract
PURPOSE: Knowing the course of Alzheimer's disease is very important to prevent the deterioration of the disease, and accurate segmentation of sensitive lesions can provide a visual basis for the diagnosis results. This study proposes an improved end-to-end dual-functional 3D convolutional neural network for segmenting bilateral hippocampi from 3D brain MRI scans and diagnosing AD progression states simultaneously.