Automated grading of acne vulgaris by deep learning with convolutional neural networks.

Ziying Vanessa LimFarhan AkramCuong Phuc NgoAmadeus Aristo WinartoWei Qing LeeKaicheng LiangHazel Hweeboon OonSteven Tien Guan ThngHwee Kuan Lee

Published in: Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) (2019)

Deep learning techniques harnessing high-resolution images and large datasets will continue to improve, demonstrating growing potential for automated clinical image analysis and grading.

Keyphrases

deep learning
convolutional neural network
high resolution
artificial intelligence
machine learning
big data
high throughput
human health
hidradenitis suppurativa
climate change