A Stacked Generalization of 3D Orthogonal Deep Learning Convolutional Neural Networks for Improved Detection of White Matter Hyperintensities in 3D FLAIR Images.

Lavanya Umapathy G G Perez-Carrillo Mahesh Bharath Keerthivasan J A Rosado-Toro Maria I Altbach B A Winegar Craig C Weinkauf Ali Bilginnull null

Published in: AJNR. American journal of neuroradiology (2021)

A stacked generalization of convolutional neural networks, utilizing multiplanar lesion information using 2.5D spatial context, greatly improved the segmentation performance of StackGen-Net compared with traditional ensemble techniques and some state-of-the-art deep learning models for 3D-FLAIR.

Keyphrases

convolutional neural network
deep learning
white matter
artificial intelligence
machine learning
multiple sclerosis
loop mediated isothermal amplification
health information