Identification of most preferential denoising method for mammogram images
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/7581237/7587688/07587786.pdf?arnumber=7587786
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. An Efficient USE-Net Deep Learning Model for Cancer Detection;International Journal of Intelligent Systems;2023-02-21
2. Comparative analysis of image denoising techniques for histopathology images;WOMEN IN PHYSICS: 7th IUPAP International Conference on Women in Physics;2023
3. A Novel Hybrid Image Segmentation Method for Detection of Suspicious Regions in Mammograms Based on Adaptive Multi-Thresholding (HCOW);IEEE Access;2021
4. Analysis Paper on Different Algorithm, Dataset and Devices Used for Fundus Images;Communications in Computer and Information Science;2021
5. Neural Denoising of Ultra-low Dose Mammography;Machine Learning for Medical Image Reconstruction;2019
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