Guangzhou An

Wako, Japan

Last Updated: 09/26/2026

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Found 10 publications

Artificial intelligence for classifying uncertain images by humans in determining choroidal vascular running pattern and comparisons with automated classification between artificial intelligence.

Artificial intelligence for classifying uncertain images by humans in determining choroidal vascular running pattern and comparisons with automated classification between artificial intelligence.

Journal: PloS one

Published: August 18, 2020

Hierarchical deep learning models using transfer learning for disease detection and classification based on small number of medical images.

Hierarchical deep learning models using transfer learning for disease detection and classification based on small number of medical images.

Journal: Scientific reports

Published: May 11, 2020

Structural Characterization of Glaucoma Patients with Low Ocular Blood Flow.

Structural Characterization of Glaucoma Patients with Low Ocular Blood Flow.

Journal: Current eye research

Published: March 06, 2020

Deep Learning Classification Models Built with Two-step Transfer Learning for Age Related Macular Degeneration Diagnosis.

Deep Learning Classification Models Built with Two-step Transfer Learning for Age Related Macular Degeneration Diagnosis.

Journal: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Published: January 18, 2020

Retinal Thickness Analysis in High Myopia based on Medial Axis Transforms.

Retinal Thickness Analysis in High Myopia based on Medial Axis Transforms.

Journal: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Published: January 18, 2020

Optical Coherence Tomography-Based Deep-Learning Models for Classifying Normal and Age-Related Macular Degeneration and Exudative and Non-Exudative Age-Related Macular Degeneration Changes.

Optical Coherence Tomography-Based Deep-Learning Models for Classifying Normal and Age-Related Macular Degeneration and Exudative and Non-Exudative Age-Related Macular Degeneration Changes.

Journal: Ophthalmology and therapy

Published: May 12, 2019

Glaucoma Diagnosis with Machine Learning Based on Optical Coherence Tomography and Color Fundus Images.

Glaucoma Diagnosis with Machine Learning Based on Optical Coherence Tomography and Color Fundus Images.

Journal: Journal of healthcare engineering

Published: October 19, 2018

Pilot study for three-dimensional assessment of laminar pore structure in patients with glaucoma, as measured with swept source optical coherence tomography.

Pilot study for three-dimensional assessment of laminar pore structure in patients with glaucoma, as measured with swept source optical coherence tomography.

Journal: PloS one

Published: April 28, 2018

Comparison of Machine-Learning Classification Models for Glaucoma Management.

Comparison of Machine-Learning Classification Models for Glaucoma Management.

Journal: Journal of healthcare engineering

Published: December 27, 2017

Classification of optic disc shape in glaucoma using machine learning based on quantified ocular parameters.

Classification of optic disc shape in glaucoma using machine learning based on quantified ocular parameters.

Journal: PloS one

Published: September 14, 2017

Showing 1-10 of 10

Last Updated: 09/26/2026