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1612.04891
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Deep learning is effective for the classification of OCT images of normal versus Age-related Macular Degeneration
15 December 2016
Cecilia S. Lee
Doug M. Baughman
Aaron Y. Lee
MedIm
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Papers citing
"Deep learning is effective for the classification of OCT images of normal versus Age-related Macular Degeneration"
6 / 6 papers shown
Title
Multi-OCT-SelfNet: Integrating Self-Supervised Learning with Multi-Source Data Fusion for Enhanced Multi-Class Retinal Disease Classification
Fatema Jannat
Sina Gholami
Jennifer I. Lim
Theodore Leng
Minhaj Nur Alam
Hamed Tabkhi
38
0
0
17 Sep 2024
Multi-Scale Convolutional Neural Network for Automated AMD Classification using Retinal OCT Images
S. Sotoudeh-Paima
Ata Jodeiri
Fedra Hajizadeh
H. Soltanian-Zadeh
MedIm
24
65
0
06 Oct 2021
Predicting risk of late age-related macular degeneration using deep learning
Yifan Peng
T. Keenan
Qingyu Chen
Elvira Agrón
Alexis Allot
W. Wong
E. Chew
Zhiyong Lu
25
54
0
19 Jul 2020
Sparse-GAN: Sparsity-constrained Generative Adversarial Network for Anomaly Detection in Retinal OCT Image
Kang Zhou
Shenghua Gao
Jun Cheng
Zaiwang Gu
Huazhu Fu
Zhi Tu
Jianlong Yang
Yitian Zhao
Jiang-Dong Liu
GAN
MedIm
107
65
0
28 Nov 2019
A Deep Learning Approach to Denoise Optical Coherence Tomography Images of the Optic Nerve Head
S. Devalla
Giridhar Subramanian
T. Pham
Xiaofei Wang
S. Perera
T. A. Tun
Tin Aung
L. Schmetterer
Alexandre Hoang Thiery
M. Girard
30
89
0
27 Sep 2018
Forecasting Future Humphrey Visual Fields Using Deep Learning
J. Wen
Cecilia S. Lee
P. Keane
Sa Xiao
Yue Wu
Ariel S. Rokem
Philip P. Chen
Aaron Y. Lee
46
119
0
02 Apr 2018
1