GAN-based Medical Image Augmentation for Improving CNN Performance in Myositis Ultrasound Image Classification
Author:
Affiliation:
1. Yunnan University,College of Information,Kunming,China
Funder
National Natural Science Foundation of China
Yunnan University
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10210847/10211258/10211926.pdf?arnumber=10211926
Reference20 articles.
1. SpeckleGAN: a generative adversarial network with an adaptive speckle layer to augment limited training data for ultrasound image processing
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3. Data Augmentation of Thyroid Ultrasound Images Using Generative Adversarial Network
4. Generating Synthetic Labeled Data From Existing Anatomical Models: An Example With Echocardiography Segmentation
5. Detrending and Denoising of Industrial Oscillation Data;lang;IEEE Transactions on Industrial Informatics,2022
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1. MGB-Unet: An Improved Multiscale Unet with Bottleneck Transformer for Myositis Segmentation from Ultrasound Images;Journal of Imaging Informatics in Medicine;2024-07-22
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