Research Area: Machine Learning
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.In this study, the advancements in stroke lesion detection and segmentation were focused. The survey analyses 113 research papers published in different academic research databases. The research articles have been filtered out based on specific criteria to obtain the most prominent insights related to stroke lesion detection and segmentation.
Keywords:
Deep learning models
Lesion segmentation
Convolutional Neural Network
Fully Convolutional Network
Neuroimaging
Author(s) Name: R. Karthik, R. Menaka, Annie Johnson
Journal name: Computer Methods and Programs in Biomedicine
Conferrence name:
Publisher name: Elsevier
DOI: 10.1016/j.cmpb.2020.105728
Volume Information: Volume 197
