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DeepSeeNet: A deep learning model for automated classification of
  patient-based age-related macular degeneration severity from color fundus
  photographs

DeepSeeNet: A deep learning model for automated classification of patient-based age-related macular degeneration severity from color fundus photographs

19 November 2018
Yifan Peng
S. Dharssi
Qingyu Chen
T. Keenan
Elvira Agrón
W. Wong
E. Chew
Zhiyong Lu
    MedIm
ArXivPDFHTML

Papers citing "DeepSeeNet: A deep learning model for automated classification of patient-based age-related macular degeneration severity from color fundus photographs"

10 / 10 papers shown
Title
LMOD: A Large Multimodal Ophthalmology Dataset and Benchmark for Large Vision-Language Models
LMOD: A Large Multimodal Ophthalmology Dataset and Benchmark for Large Vision-Language Models
Zhenyue Qin
Yu Yin
Dylan Campbell
Xuansheng Wu
Ke Zou
Yih-Chung Tham
Ninghao Liu
Xiuzhen Zhang
Qingyu Chen
46
1
0
02 Oct 2024
A better approach to diagnose retinal diseases: Combining our
  Segmentation-based Vascular Enhancement with deep learning features
A better approach to diagnose retinal diseases: Combining our Segmentation-based Vascular Enhancement with deep learning features
Yuzhuo Chen
Zetong Chen
Yuanyuan Liu
31
0
0
25 May 2024
Benchmarking Deep Learning Frameworks for Automated Diagnosis of Ocular
  Toxoplasmosis: A Comprehensive Approach to Classification and Segmentation
Benchmarking Deep Learning Frameworks for Automated Diagnosis of Ocular Toxoplasmosis: A Comprehensive Approach to Classification and Segmentation
Syed Samiul Alam
Samiul Based Shuvo
Shams Nafisa Ali
F. Ahmed
Arbil Chakma
Yeonggul Jang
12
5
0
18 May 2023
Retinal Image Restoration using Transformer and Cycle-Consistent
  Generative Adversarial Network
Retinal Image Restoration using Transformer and Cycle-Consistent Generative Adversarial Network
Alnur Alimanov
Md Baharul Islam
ViT
MedIm
27
4
0
03 Mar 2023
Neuro-Symbolic Learning: Principles and Applications in Ophthalmology
Neuro-Symbolic Learning: Principles and Applications in Ophthalmology
Muhammad Hassan
Haifei Guan
Aikaterini Melliou
Yuqi Wang
Qianhui Sun
...
Qi Huang
Jiefu Tan
Qinwang Xing
Peiwu Qin
Dongmei Yu
NAI
47
14
0
31 Jul 2022
RFormer: Transformer-based Generative Adversarial Network for Real
  Fundus Image Restoration on A New Clinical Benchmark
RFormer: Transformer-based Generative Adversarial Network for Real Fundus Image Restoration on A New Clinical Benchmark
Zhuo Deng
Yuanhao Cai
Lu Chen
Zheng Gong
Qiqi Bao
Xue Yao
D. Fang
Shaochong Zhang
Lan Ma
ViT
MedIm
36
53
0
03 Jan 2022
Multi-modal, multi-task, multi-attention (M3) deep learning detection of
  reticular pseudodrusen: towards automated and accessible classification of
  age-related macular degeneration
Multi-modal, multi-task, multi-attention (M3) deep learning detection of reticular pseudodrusen: towards automated and accessible classification of age-related macular degeneration
Qingyu Chen
T. Keenan
Alexis Allot
Yifan Peng
Elvira Agrón
...
Chantal Cousineau-Krieger
W. Wong
Yingying Zhu
E. Chew
Zhiyong Lu
MedIm
33
20
0
09 Nov 2020
Self-supervised Feature Learning via Exploiting Multi-modal Data for
  Retinal Disease Diagnosis
Self-supervised Feature Learning via Exploiting Multi-modal Data for Retinal Disease Diagnosis
Xiaomeng Li
M. Jia
Md Tauhidul Islam
Lequan Yu
Lei Xing
20
109
0
21 Jul 2020
Predicting risk of late age-related macular degeneration using deep
  learning
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
19
54
0
19 Jul 2020
A multi-task deep learning model for the classification of Age-related
  Macular Degeneration
A multi-task deep learning model for the classification of Age-related Macular Degeneration
Qingyu Chen
Yifan Peng
T. Keenan
S. Dharssi
Elvira Agrón
W. Wong
E. Chew
Zhiyong Lu
BDL
MedIm
29
45
0
02 Dec 2018
1