Improving Robustness using Joint Attention Network For Detecting Retinal Degeneration From Optical Coherence Tomography Images

05/16/2020
by   Sharif Amit Kamran, et al.
0

Noisy data and the similarity in the ocular appearances caused by different ophthalmic pathologies pose significant challenges for an automated expert system to accurately detect retinal diseases. In addition, the lack of knowledge transferability and the need for unreasonably large datasets limit clinical application of current machine learning systems. To increase robustness, a better understanding of how the retinal subspace deformations lead to various levels of disease severity needs to be utilized for prioritizing disease-specific model details. In this paper we propose the use of disease-specific feature representation as a novel architecture comprised of two joint networks – one for supervised encoding of disease model and the other for producing attention maps in an unsupervised manner to retain disease specific spatial information. Our experimental results on publicly available datasets show the proposed joint-network significantly improves the accuracy and robustness of state-of-the-art retinal disease classification networks on unseen datasets.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
06/24/2022

Feature Representation Learning for Robust Retinal Disease Detection from Optical Coherence Tomography Images

Ophthalmic images may contain identical-looking pathologies that can cau...
research
12/16/2019

Comparisonal study of Deep Learning approaches on Retinal OCT Image

In medical science, the use of computer science in disease detection and...
research
05/25/2018

Towards a glaucoma risk index based on simulated hemodynamics from fundus images

Glaucoma is the leading cause of irreversible but preventable blindness ...
research
10/22/2020

Unsupervised deep learning for grading of age-related macular degeneration using retinal fundus images

Many diseases are classified based on human-defined rubrics that are pro...
research
02/20/2022

Statistical and Topological Summaries Aid Disease Detection for Segmented Retinal Vascular Images

Disease complications can alter vascular network morphology and disrupt ...
research
07/21/2017

Retinal Microaneurysms Detection using Local Convergence Index Features

Retinal microaneurysms are the earliest clinical sign of diabetic retino...
research
09/03/2021

Interpretable Automated Diagnosis of Retinal Disease using Deep OCT Analysis

30 million Optical Coherence Tomography (OCT) imaging tests are issued e...

Please sign up or login with your details

Forgot password? Click here to reset