# Do Noises Bother Human and Neural Networks In the Same Way? A Medical Image Analysis Perspective

@article{Wen2020DoNB,
title={Do Noises Bother Human and Neural Networks In the Same Way? A Medical Image Analysis Perspective},
author={Shao-Cheng Wen and Yu-Jen Chen and Zihao Liu and Wujie Wen and Xiaowei Xu and Yiyu Shi and Tsung-Yi Ho and Qianjun Jia and Meiping Huang and Jian Zhuang},
journal={2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)},
year={2020},
pages={1166-1170}
}
• Published 4 November 2020
• Computer Science
• 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Deep learning had already demonstrated its power in medical images, including denoising, classification, segmentation, etc. All these applications are proposed to automatically analyze medical images beforehand, which brings more information to radiologists during clinical assessment for accuracy improvement. Recently, many medical denoising methods had shown their significant artifact reduction result and noise removal both quantitatively and qualitatively. However, those existing methods are…
1 Citations

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