no code implementations • 12 Dec 2022 • Lianrui Zuo, Yihao Liu, Yuan Xue, Blake E. Dewey, Murat Bilgel, Ellen M. Mowry, Scott D. Newsome, Peter A. Calabresi, Susan M. Resnick, Jerry L. Prince, Aaron Carass
HACA3 is also robust to imaging artifacts and can be trained and applied to any set of MR contrasts.
Accuracy and consistency are two key factors in computer-assisted magnetic resonance (MR) image analysis.
In this paper, we propose a fully convolutional neural network (CNN) based method to segment white matter lesions from multi-contrast MR images.
Optical coherence tomography (OCT) is a noninvasive imaging modality which can be used to obtain depth images of the retina.