DFCNet specifications

Information


Unique identifier OMICS_27005
Name DFCNet
Alternative name Deep Fully Convolutional neural Network
Software type Application/Script
Interface Command line interface
Restrictions to use None
Input data Some CT-Scan images.
Operating system Unix/Linux
Computer skills Advanced
Stability Stable
Maintained Yes

Versioning


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Maintainer


  • person_outline Bin Sheng <>

Publication for Deep Fully Convolutional neural Network

DFCNet institution(s)
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
DFCNet 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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