DFCNet specifications

Unique identifier:
Software type:
Restrictions to use:
Operating system:
Deep Fully Convolutional neural Network
Command line interface
Input data:
Some CT-Scan images.
Computer skills:


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DFCNet support


  • Bin Sheng <>


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Dept. of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China; Dept. of Computer Science, COMSATS Institute of Information Technology, Islamabad, Pakistan; Faculty of Information Technology, Macau University of Science and Technology, Macau, Macau; Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China; School of Nursing, The Hong Kong Polytechnic University, Hong Kong, Hong Kong; School of Information Technologies, The University of Sydney, Sydney, VIC, Australia

Funding source(s)

Supported by the National Natural Science Foundation of China (No. 61572316, 61671290), National High-tech R&D Program of China (863 Program) (No. 2015AA015904), the Key Program for
International S&T Cooperation Project (No. 2016YFE0129500) of China, the Science and Technology Commission of Shanghai Municipality (No. 16DZ0501100, 17411952600), the General Program of Cross of Medicine and Engineering of SJTU (YG2015MS19), the interdisciplinary Program of Shanghai Jiao Tong University (No.14JCY10), a grant from the Research Grants Council of Hong Kong (No. 28200215), and a grant from The Hong Kong Polytechnic University (Project no. 1-ZE8J).

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