CUAB: Convolutional Uncertainty Attention Block Enhanced the Chest X-ray Image Analysis

Understand

In recent years, convolutional neural networks (CNNs) have been successfully implemented to various image recognition applications, such as medical image analysis, object detection, and image segmentation.

• Many studies and applications have been working on improving the performance of CNN algorithms and models.
• The strategies that aim to improve the performance of CNNs can be grouped into three major approaches: (1) deeper and wider network architecture, (2) automatic architecture search, and (3) convolutional attention block.
• Unlike approaches (1) and (2), the convolutional attention block approach is more flexible with lower cost.