En‐ConvNet: A novel approach for glaucoma detection from color fundus images using ensemble of deep convolutional neural networks

P Elangovan, MK Nath - International Journal of Imaging …, 2022 - Wiley Online Library
Glaucomatous optic neuropathy is the preeminent cause of incurable vision impairment and
blindness across the world. Manual interpretation of the pathological structures in fundus …

Glaucoma detection with retinal fundus images using segmentation and classification

T Shyamalee, D Meedeniya - Machine Intelligence Research, 2022 - Springer
Glaucoma is a prevalent cause of blindness worldwide. If not treated promptly, it can cause
vision and quality of life to deteriorate. According to statistics, glaucoma affects …

Analysis of retinal blood vessel segmentation techniques: a systematic survey

KS Kumar, NP Singh - Multimedia Tools and Applications, 2023 - Springer
Abstract Segmentation of Blood Vessel is a challenging mission in medical image
processing to diagnose the disease. It evaluates vessels crucial in automatic retinal vessel …

Covid-19net: An effective and robust approach for covid-19 detection using ensemble of convnet-24 and customized pre-trained models

P Elangovan, D Vijayalakshmi, MK Nath - Circuits, Systems, and Signal …, 2024 - Springer
The Coronavirus is extremely harmful to human lungs, and hence early detection is critical to
prevent the virus from spreading. However, the cumulative workflow in the routine diagnostic …

Multiple ocular disease detection using novel ensemble models

Y Patil, A Shetty, Y Kale, R Patil, S Sharma - Multimedia Tools and …, 2024 - Springer
Ocular diseases can progress slowly and are unaware of their progress until they are severe
and untreatable. Regular checkups can prevent this, but these add to the workload of …

TSSFN: Transformer-based self-supervised fusion network for low-quality fundus image enhancement

Y Gao, W Zhang, H He, L Cao, Y Zhang… - … Signal Processing and …, 2024 - Elsevier
Fundus images are used to assist the diagnoses of ocular diseases, and a high-quality
fundus image with more details makes clinical diagnostic results more reliable. However, the …

A review of optic disc and optic cup segmentation based on fundus images

X Ma, G Cao, Y Chen - IET Image Processing, 2024 - Wiley Online Library
Optic disc (OD) and optic cup (OC) segmentation is an important task in ophthalmic
medicine and is crucial for aiding glaucoma screening. With the development of smart …

A novel deep learning model for diabetic retinopathy detection in retinal fundus images using pre-trained CNN and HWBLSTM

SV Hemanth, S Alagarsamy… - Journal of Biomolecular …, 2024 - Taylor & Francis
Diabetic retinopathy (DR) is a global visual indicator of diabetes that leads to blindness and
loss of vision. Manual testing presents a more difficult task when attempting to detect DR due …

METHODOLOGY FOR IMPROVING DEEP LEARNING-BASED CLASSIFICATION FOR CT SCAN COVID-19 IMAGES

D Vijayalakshmi, P Elangovan… - … : Applications, Basis and …, 2024 - World Scientific
Early identification of COVID-19 necessitates a precise interpretation of computed
tomography (CT) chest images. Consistent and accurate photographs are critical for the …

An improved approach for classification of glaucoma stages from color fundus images using Efficientnet-b0 convolutional neural network and recurrent neural network

P Elangovan, D Vijayalakshmi, MK Nath - Computational Methods and …, 2023 - Elsevier
Glaucoma is a cluster of eye diseases caused due to the deterioration of the optic nerve. It
affects tunnel vision at the early stages and progresses gradually without easily noticeable …