Automatic Ischemic Stroke Lesions Segmentation in Multimodality MRI using Mask Region-based Convolutional Neural Network

• Published in: 2020 4th International Conference on Advanced Systems and Emergent Technologies (IC_ASET) pp. 362 - 366
• Main Authors: Daoudi, Rimeh, Mouelhi, Aymen, Sayadi, Mounir
• Format: Conference Proceeding
• Language: English
• Published: IEEE 15.12.2020
• Subjects: Actue ischemic stroke; Convolutional neural networks; deep learning; Diseases; Image segmentation; Lesions; Magnetic resonance imaging; medical image segmentation; Predictive models; Solid modeling; Training

Stroke or cerebrovascular accident (CVA) disease is one of the leading causes of death, due to its difficult diagnosis. The speed of its treatment has a direct impact on patients' lives. Acute ischemic lesions occur in most CVA patients. Although FLAIR and diffusion-weighted MR imaging (DWI) ar...