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About Convolutional Neural Networks: An Overview and Application in Radiology
This document provides an overview of convolutional neural networks (CNNs) and their application in radiology. It discusses that CNNs are a type of deep learning model composed of convolution, pooling, and fully connected layers that can automatically learn hierarchical image features through backpropagation. The document notes that CNNs have achieved expert-level performance in various medical fields like disease screening and have generated significant interest among radiologists. However, challenges like small medical imaging datasets and overfitting must be addressed when applying CNNs to radiology.
Detailed Information
| Author: | ['Ann'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 20 |
| Language: | English |
| Format: | |
| Price: | FREE |
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