Convolutional neural networks for medical image analysis: State-of-the-art, comparisons, improvement and perspectives

Volume: 444, Pages: 92 - 110
Published: Jul 1, 2021
Abstract
Convolutional neural networks, are one of the most representative deep learning models. CNNs were extensively used in many aspects of medical image analysis, allowing for great progress in computer-aided diagnosis in recent years. In this paper, we provide a survey on convolutional neural networks in medical image analysis. First, we review the commonly used CNNs in medical image processing, including AlexNet, GoogleNet, ResNet, R-CNN, and FCNN....
Paper Details
Title
Convolutional neural networks for medical image analysis: State-of-the-art, comparisons, improvement and perspectives
Published Date
Jul 1, 2021
Volume
444
Pages
92 - 110
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