Low Dose CT Image Denoising Using Efficient Transformer with SimpleGate Mechanism-Reference-Cited by-同舟云学术

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Low Dose CT Image Denoising Using Efficient Transformer with SimpleGate Mechanism

Published:2023 Issue: Volume: Page:556-566
ISSN:0302-9743
Container-title:Neural Information Processing
language:
Short-container-title:

Author:

Xiong Lianjin,Qiu Wei,Li Ning,Li Yishi,Zhang Yangsong

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-30111-7_47

Reference32 articles.

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2. Lecture Notes in Computer Science;HC Burger,2013

3. Cao, X., Yang, J., Gao, Y., Wang, Q., Shen, D.: Region-adaptive deformable registration of CT/MRI pelvic images via learning-based image synthesis. IEEE Trans. Image Process. 27(7), 3500–3512 (2018)

4. Chen, C.H., et al.: Computer-aided diagnosis of endobronchial ultrasound images using convolutional neural network. Comput. Methods Programs Biomed. 177, 175–182 (2019)

5. Chen, H., et al.: Low-dose CT with a residual encoder-decoder convolutional neural network. IEEE Trans. Med. Imaging 36(12), 2524–2535 (2017)

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