A Survey on Deep Learning Techniques Applied to medical image analysis

作者：禅与计算机程序设计艺术

1.简介

Deep learning (DL) techniques have become increasingly popular in the medical image analysis domain due to their potential for improving accuracy and reducing costs compared to traditional manual methods. However, DL is still a relatively new field that has not yet been thoroughly explored or widely used by researchers and developers outside the medical imaging industry. In this survey paper, we aim to provide a comprehensive review of recent advances made in the area of DL applied to medical images, including popular deep neural networks architectures such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and autoencoders, as well as attention mechanisms and transforme