Concepedia

A Deep Learning Approach for Meibomian Gland Atrophy Evaluation in Meibography Images

Jiayun Wang, Thao N. Yeh, Rudrasis Chakraborty, Stella X. Yu, Meng C. Lin

Translational Vision Science & Technology · 2019 · 72 citations · 24 references

Open access

Abstract

Based on deep neural networks, the study presents an accurate and consistent gland atrophy evaluation method for meibography images, and may contribute to improved understanding of meibomian gland dysfunction.

References

24

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Engineering, Generalizability Theory, Diagnosis +20

ImageNet classification with deep convolutional neural networks

Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton · Communications of the ACM · 2017 · 75.5K citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +19

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Biology, Biological-image Analysis, Image Analysis +8

Fully convolutional networks for semantic segmentation

Jonathan Long, Evan Shelhamer, Trevor Darrell · 2015 · 36.2K citations

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Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2017 · 21.4K citations

Semantic Image Segmentation, Convolutional Neural Network, Scene Analysis +15