Semi-Supervised Leukocyte Segmentation Based on Adversarial Learning With Reconstruction Enhancement-Reference-Cited by-同舟云学术

Semi-Supervised Leukocyte Segmentation Based on Adversarial Learning With Reconstruction Enhancement

Published:2022 Issue: Volume:71 Page:1-11
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Teng Shenghua¹^ORCID,Wu Jiawei²^ORCID,Chen Yuanyuan¹^ORCID,Fan Haoyi³^ORCID,Cao Xinrong⁴^ORCID,Li Zuoyong⁴^ORCID

Affiliation:

1. College of Electronic and Information Engineering, Shandong University of Science and Technology, Qingdao, China

2. College of Mechanical and Electrical Engineering, Fujian Agriculture and Forestry University, Fuzhou, China

3. School of Information Engineering, Zhengzhou University, Zhengzhou, China

4. Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, College of Computer and Control Engineering, Minjiang University, Fuzhou, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Fujian Province

Fuzhou Science and Technology Project

Fujian Provincial Leading Project

Government Guiding Regional Science and Technology Development

Fujian Provincial Key Laboratory of Information Processing and Intelligent Control

Open Fund Project

Natural Science Foundation of Shandong Province

Guangdong Provincial Key Laboratory of Cyber-Physical Systems

National and Local Joint Engineering Research Center of Intelligent Manufacturing Cyber-Physical Systems

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/9717300/09829239.pdf?arnumber=9829239

Reference55 articles.

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4. Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

5. V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

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