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

CONCLUSIONS:
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.

Source: American Journal of Neuroradiology - April 12, 2021 Category: Radiology Authors: Umapathy, L., Perez-Carrillo, G. G., Keerthivasan, M. B., Rosado-Toro, J. A., Altbach, M. I., Winegar, B., Weinkauf, C., Bilgin, A., for the Alzheimers Disease Neuroimaging Initiative Tags: FUNCTIONAL Source Type: research