Harmonizing Pathological and Normal Pixels for Pseudo-Healthy Synthesis-Reference-Cited by-同舟云学术

Harmonizing Pathological and Normal Pixels for Pseudo-Healthy Synthesis

Author:

Zhang Yunlong¹^ORCID,Lin Xin¹^ORCID,Zhuang Yihong¹^ORCID,Sun Liyan²,Huang Yue¹^ORCID,Ding Xinghao¹^ORCID,Wang Guisheng³,Yang Lin⁴,Yu Yizhou⁵^ORCID

Affiliation:

1. School of Informatics, Xiamen University, Xiamen, China

2. School of Electronic Science and Engineering, Xiamen University, Xiamen, China

3. Department of Radiology, Third Medical Centre, Chinese PLA General Hospital, Beijing, China

4. School of Engineering, Westlake University, Hangzhou, China

5. Deepwise AI Laboratory, Beijing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Science and Technology Key Project of Fujian Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software

Link

Reference54 articles.

1. Fast histogram equalization for medical image enhancement;wang;Proc 30th Annu Int Conf IEEE Eng Med Biol Soc,2008

3. Explaining and harnessing adversarial examples;goodfellow;arXiv 1412 6572,2014

4. Domain-adversarial training of neural networks;ganin;J Mach Learn Res,2015

5. Generative adversarial nets;goodfellow;Proc Adv Neural Inf Process Syst,2014

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