Segmentation Guided Crossing Dual Decoding Generative Adversarial Network for Synthesizing Contrast-Enhanced Computed Tomography Images-Reference-Cited by-同舟云学术

Segmentation Guided Crossing Dual Decoding Generative Adversarial Network for Synthesizing Contrast-Enhanced Computed Tomography Images

Published:2024-08 Issue:8 Volume:28 Page:4737-4750
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Yang Yulin¹^ORCID,Chen Qingqing²^ORCID,Li Yinhao³^ORCID,Wang Fang²^ORCID,Han Xian-Hua⁴^ORCID,Iwamoto Yutaro⁵^ORCID,Liu Jing⁶^ORCID,Lin Lanfen⁷^ORCID,Hu Hongjie²^ORCID,Chen Yen-Wei³^ORCID

Affiliation:

1. Gradate School of Information Science and Engineering, Ritsumeikan University, Kyoto, Japan

2. Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China

3. College of Information Science and Engineering, Ritsumeikan University, Kyoto, Japan

4. Graduate School of Artificial Intelligence and Science, Rikkyo University, Tokyo, Japan

5. Department of Information and Communication Engineering, Osaka Electro-Communication University, Osaka, Japan

6. Research Center for Healthcare Data Science, Zhejiang Lab, Hangzhou, China

7. College of Computer Science and Technology, Zhejiang University, Hangzhou, China

Funder

Grant in Aid for Scientific Research from the Japanese Ministry for Education, Science, Culture and Sports

Natural Science Foundation of Zhejiang Province

Major Scientific Research Project of Zhejiang Lab

Hainan Provincial Natural Science Foundation of China

National Natural Science Foundation of China

Key Research and Development Program of Zhejiang Province

Province and Ministry

Special Fund for Basic Scientific Research Business Expenses of Zhejiang University

Postdoctor Research from Zhejiang Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6221020/10625760/10535163.pdf?arnumber=10535163

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4. MedGAN: Medical image translation using GANs

5. Synthesizing Contrast-enhanced Computed Tomography Images with an Improved Conditional Generative Adversarial Network