Exudate regeneration for automated exudate detection in retinal fundus images
This paper presents a framework for the automated detection of Exudates, an early sign of
Diabetic Retinopathy. The paper introduces a classification-extraction-superimposition …
Diabetic Retinopathy. The paper introduces a classification-extraction-superimposition …
Enhancing diabetic retinopathy diagnosis: A lightweight cnn architecture for efficient exudate detection in retinal fundus images
MAR Alif - arXiv preprint arXiv:2408.06784, 2024 - arxiv.org
Retinal fundus imaging plays an essential role in diagnosing various stages of diabetic
retinopathy, where exudates are critical markers of early disease onset. Prompt detection of …
retinopathy, where exudates are critical markers of early disease onset. Prompt detection of …
LDMRes-Net: Enabling real-time disease monitoring through efficient image segmentation
Retinal eye diseases can lead to irreversible vision loss in both eyes if not diagnosed and
treated earlier. Owing to the complexities of retinal diseases, the likelihood that retinal …
treated earlier. Owing to the complexities of retinal diseases, the likelihood that retinal …
Domain modelling for a lightweight convolutional network focused on automated exudate detection in retinal fundus images
Retinal Fundus images contain important signs implying various stages of diabetic
retinopathy. One of the early signs of diabetic retinopathy is exudates. The timely detection …
retinopathy. One of the early signs of diabetic retinopathy is exudates. The timely detection …
Exudate Detection: Integrating Retinal-Based Affine Mapping and Design Flow Mechanism to Develop Lightweight Architectures
M Hussain - IEEE Access, 2023 - ieeexplore.ieee.org
This article introduces an innovative solution to critical challenges in the automated
detection of Diabetic Retinopathy using fundus images. To combat data scarcity, we …
detection of Diabetic Retinopathy using fundus images. To combat data scarcity, we …
Feature Enhancer Segmentation Network (FES-Net) for Vessel Segmentation
Diseases such as diabetic retinopathy and age-related macular degeneration pose a
significant risk to vision, highlighting the importance of precise segmentation of retinal …
significant risk to vision, highlighting the importance of precise segmentation of retinal …
Exu-Eye: Retinal Exudates Segmentation based on Multi-Scale Modules and Gated Skip Connection
This paper proposes an efficient method called Exu-Eye for hard exudate segmentation in
retinal funds images based on multi-scale modules and gated skip connections. The key …
retinal funds images based on multi-scale modules and gated skip connections. The key …
A Study on the Segmentation and Classification of Diabetic Retinopathy Images Using the K-Means Clustering Method
Diabetic Retinopathy (DR) is a retinal disease caused by diabetes, representing one of the
most prevalent causes of vision loss affecting millions of people worldwide. Swift detection …
most prevalent causes of vision loss affecting millions of people worldwide. Swift detection …
Segmentation of Hard Exudates in Retina Fundus Images Using BCDU-Net
The importance of Diabetic Retinopathy (DR) screening requires attention to the
development of computer-aided diagnostic tools. Computer-Aided Diagnosis (CAD) of …
development of computer-aided diagnostic tools. Computer-Aided Diagnosis (CAD) of …
[PDF][PDF] LDMRes-Net: Enabling Efficient Medical Image Segmentation on IoT and Edge Platforms
In this study, we propose LDMRes-Net, a lightweight dual-multiscale residual block-based
computational neural network tailored for medical image segmentation on IoT and edge …
computational neural network tailored for medical image segmentation on IoT and edge …