Download or read book Deep Learning Methods for Automated Detection of New Multiple Sclerosis Lesions in Longitudinal Magnetic Resonance Images written by Mostafa Salem and published by . This book was released on 2020 with total page 143 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis is focused on developing novel and fully automated methods for the detection of new multiple sclerosis (MS) lesions inlongitudinal brain magnetic resonance imaging (MRI). First, we proposed a fully automated logistic regression-based framework forthe detection and segmentation of new T2-w lesions. The framework was based on intensity subtraction and deformation field (DF).Second, we proposed a fully convolutional neural network (FCNN) approach to detect new T2-w lesions in longitudinal brain MRimages. The model was trained end-to-end and simultaneously learned both the DFs and the new T2-w lesions. Finally, weproposed a deep learning-based approach for MS lesion synthesis to improve the lesion detection and segmentation performancein both cross-sectional and longitudinal analysis.