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Automated grading of acne vulgaris by deep learning with convolutional neural networks |
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| Authors: | Ziying Vanessa Lim Farhan Akram Cuong Phuc Ngo Amadeus Aristo Winarto Wei Qing Lee Kaicheng Liang Hazel Hweeboon Oon Steven Tien Guan Thng Hwee Kuan Lee |
| Affiliation: | 1. National Skin Centre, Singapore, Singapore;2. Bioinformatics Institute, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore;3. Bioinformatics Institute, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore Hwa Chong Institution, Singapore, Singapore;4. School of Computing, National University of Singapore, Singapore, Singapore;5. National Skin Centre, Singapore, Singapore Skin Research Institute Singapore, A*STAR, Singapore, Singapore;6. Bioinformatics Institute, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore School of Computing, National University of Singapore, Singapore, Singapore Image and Pervasive Access Lab, CNRS, Singapore, Singapore Singapore Eye Research Institute, Singapore, Singapore |
| Abstract: | |
| Keywords: | acne vulgaris automated grading convolutional neural network deep learning severity grading |