7: Automated detection of ischemic stroke with brain MRI using machine learning and deep learning features
Abstract
Recently, the occurrence rate of stroke in humans has been growing steadily for various reasons. Ischemic stroke lesion (ISL) is a stroke that arises due to an inadequate oxygen supply to the brain tissues, and appropriate diagnosis is necessary to treat the patient. This research aims to employ a deep learning (DL) structure to identify ISL in multimodality brain MRI slices. To implement a reliable ISL recognition scheme, this work employed convolutional neural network (CNN)-based joint segmentation and categorization system. The stages of this scheme include: (1) VGG-UNet-supported segmentation, (2) machine learning (ML) ...
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