A deep unsupervised clustering-based post-processing framework for high-fidelity Cerenkov luminescence tomography

Author:

Cao Xin1ORCID,Zhang Jun1,Yang Jianan1,Fan Chunxiao2,Zhao Fengjun1,Zhou Wei1ORCID,Wang Lin1,Geng Guohua1,Zhou Mingquan3,Chen Xueli4

Affiliation:

1. School of Information Sciences and Technology, Northwest University, Xi'an, Shaanxi 710127, China

2. School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, Anhui 230601, China

3. Engineering Research Center of Virtual Reality and Applications, Ministry of Education, Beijing Key Laboratory of Digital Preservation and Virtual Reality for Cultural Heritage, Beijing Normal University, Beijing, China

4. Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education & School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China

Funder

national key r&d program of china

national natural science foundation of china

china post-doctoral science foundation

Young Talent Support Program of the shannxi association for science and technology

scientific research program founded by shannxi provincial education department

Publisher

AIP Publishing

Subject

General Physics and Astronomy

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