Contrastive Adversarial Learning for Endomicroscopy Imaging Super-Resolution

Author:

Zhang Chuyan1ORCID,Gu Yun1ORCID,Yang Guang-Zhong1

Affiliation:

1. Institute and Medical Robotics, Shanghai Jiao Tong University, Shanghai, China

Funder

National Key R&D Program of China

Committee of Science and Technology, Shanghai, China

Shanghai Sailing Program

National Natural Science Foundation of China

Open Funding of Zhejiang Lab

Shanghai Municipal of Science and Technology Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Reference40 articles.

1. Hyperspectral Image Superresolution by Transfer Learning

2. Generative adversarial nets;goodfellow;Proc Adv Neural Inf Process Syst,0

3. Unsupervised Real-world Image Super Resolution via Domain-distance Aware Training

4. Computer aided diagnosis for confocal laser endomicroscopy in advanced colorectal adenocarcinoma;?tef?nescu;PLoS ONE,2016

5. Zero-Shot Super-Resolution With a Physically-Motivated Downsampling Kernel for Endomicroscopy

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