Combined Atlas and Convolutional Neural Network-Based Segmentation of the Hippocampus from MRI According to the ADNI Harmonized Protocol

Combined Atlas and Convolutional Neural Network-Based Segmentation of the Hippocampus from MRI According to the ADNI Harmonized Protocol

Hippocampus atrophy is an early structural feature that can be measured from magnetic resonance imaging (MRI) to improve the diagnosis of neurological diseases. An accurate and robust standardized hippocampus segmentation method is required for reliable atrophy assessment. The aim of this work was t...

Full description

Bibliographic Details
Main Authors: Samaneh Nobakht, Morgan Schaeffer, Nils D. Forkert, Sean Nestor, Sandra E. Black, Philip Barber, the Alzheimer’s Disease Neuroimaging Initiative
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Sensors
Subjects:
magnetic resonance imaging
hippocampus
segmentation
convolutional neural network
ADNI harmonized hippocampal protocol
Online Access:https://www.mdpi.com/1424-8220/21/7/2427

Internet

https://www.mdpi.com/1424-8220/21/7/2427

Similar Items