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About Yamashita2018 Article ConvolutionalNeuralNetworksAnO
This article provides an overview of convolutional neural networks (CNN) and their application in radiology. CNN is a type of deep learning model composed of convolutional layers that automatically learn hierarchical image features, pooling layers that reduce dimensionality, and fully connected layers for classification. CNN can perform tasks like lesion detection, classification, and segmentation without requiring handcrafted features or segmentation by experts. The article discusses challenges of applying CNN to radiology like small datasets and overfitting, and techniques to address them. Familiarity with CNN is important for leveraging its potential to improve radiologist performance and patient care.
Detailed Information
| Author: | ['yiho'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 19 |
| Language: | English |
| Format: | |
| Price: | FREE |
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