Concepedia

Validating the Generalizability of Ophthalmic Artificial Intelligence Models on Real-World Clinical Data

Homa Rashidisabet, Abhishek Sethi, Ponpawee Jindarak, R.V. Paul Chan, Yannek I. Leiderman, Thasarat S. Vajaranant, Darvin Yi

Translational Vision Science & Technology · 2023 · 13 citations · 53 references

Open access

Abstract

RWD is a potential solution for improving generalizability of DL models and enabling clinical translations in the care of prevalent blinding ophthalmic conditions, such as glaucoma.

References

53

ImageNet Large Scale Visual Recognition Challenge

Olga Russakovsky, Jia Deng, Hao Su et al. · International Journal of Computer Vision · 2015 · 39.5K citations

Image Classification, Convolutional Neural Network, Machine Vision +7

Visualizing Data using t-SNE

Laurens van der Maaten, Geoffrey E. Hinton · Journal of Machine Learning Research · 2008 · 35.7K citations

Engineering, Data Visualization, Data Exploration +16

Rethinking Atrous Convolution for Semantic Image Segmentation

Liang-Chieh Chen, George Papandreou, Florian Schroff et al. · arXiv (Cornell University) · 2017 · 7.4K citations · Full text

Convolutional Neural Network, Scene Analysis, Engineering +16

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

International Journal of Computer Vision · 2019 · 5.1K citations · Full text

Machine Vision, Machine Learning, Visual Explanations +7

Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With Diabetes

Daniel Shu Wei Ting, Carol Y. Cheung, Gilbert Lim et al. · JAMA · 2017 · 2.2K citations · Full text