Unsupervised Tissue Segmentation via Deep Constrained Gaussian Network-Reference-Cited by-同舟云学术

Unsupervised Tissue Segmentation via Deep Constrained Gaussian Network

Author:

Nan Yang¹,Tang Peng²^ORCID,Zhang Guyue³^ORCID,Zeng Caihong⁴,Liu Zhihong⁴^ORCID,Gao Zhifan⁵^ORCID,Zhang Heye⁵^ORCID,Yang Guang⁶^ORCID

Affiliation:

1. National Heart and Lung Institute, Imperial College London, London, U.K.

2. Department of Informatics, Technical University of Munich, Munich, Germany

3. Zhejiang Institute of Standardization, Hangzhou, China

4. National Clinical Research Centre of Kidney Diseases, Nanjing University, Nanjing, China

5. School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, China

6. Lung Institute, Imperial College London, London, U.K.

Funder

European Research Council Innovative Medicines Initiative

AI for Health Imaging Award

Medical Research Council

Royal Society

NVIDIA Academic Hardware Grant Program

UK Research and Innovation Future Leaders Fellowship

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

Reference55 articles.

3. Unsupervised object segmentation by redrawing;chen;arXiv 1905 13539,2019

4. W-Net: A deep model for fully unsupervised image segmentation;xia;arXiv 1711 08506,2017

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