Neuroimaging and deep learning for brain stroke detection - A review of recent advancements and future prospects.
Journal:
Computer methods and programs in biomedicine
Published Date:
Aug 26, 2020
Abstract
BACKGROUND AND OBJECTIVE: In recent years, deep learning algorithms have created a massive impact on addressing research challenges in different domains. The medical field also greatly benefits from the use of improving deep learning models which save time and produce accurate results. This research aims to emphasize the impact of deep learning models in brain stroke detection and lesion segmentation. This is achieved by discussing the state of the art approaches proposed by the recent works in this field.