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Deep Learning-Based Acute Ischemic Stroke Lesion Segmentation Method on Multimodal MR Images Using a Few Fully Labeled Subjects.
Authors: Zhao B, Liu Z, Liu G, Cao C, Jin S, Wu H, Ding S Abstract Acute ischemic stroke (AIS) has been a common threat to human health and may lead to severe outcomes without proper and prompt treatment. To precisely diagnose AIS, it is of paramount importance to quantitatively evaluate the AIS lesions. By adopting a convolutional neural network (CNN), many automatic methods for ischemic stroke lesion segmentation on magnetic resonance imaging (MRI) have been proposed. However, most CNN-based methods should be trained on a large amount of fully labeled subjects, and the label annotation is a labor-intensive and ti...
Source: Computational and Mathematical Methods in Medicine - February 12, 2021 Category: Statistics Tags: Comput Math Methods Med Source Type: research