Wong Jovi C Y

2 articles in GJC

Realistic fundus photograph generation for improving automated disease classification.

Pandey Prashant U, Micieli Jonathan A, Ong Tone Stephan, Eng Kenneth T, Kertes Peter J, Wong Jovi C Y

Br J OphthalmolJun 20251 citationsBasic Science

AI-generated retinal images were realistic to experts and, when added to training data, significantly improved a deep learning model's accuracy for classifying multiple retinal diseases.

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Ensemble of deep convolutional neural networks is more accurate and reliable than board-certified ophthalmologists at detecting multiple diseases in retinal fundus photographs.

Pandey Prashant U, Ballios Brian G, Christakis Panos G, Kaplan Alexander J, Mathew David J, Ong Tone Stephan et al.

Br J OphthalmolFeb 202417 citationsObservational Study

A deep learning algorithm for retinal image analysis outperformed ophthalmologists in detecting multiple diseases, including glaucoma, suggesting potential for improved screening and diagnosis.

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Wong Jovi C Y

Realistic fundus photograph generation for improving automated disease classification.

Ensemble of deep convolutional neural networks is more accurate and reliable than board-certified ophthalmologists at detecting multiple diseases in retinal fundus photographs.