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 …
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 …
vision and quality of life to deteriorate. According to statistics, glaucoma affects …
Analysis of retinal blood vessel segmentation techniques: a systematic survey
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 …
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
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 …
prevent the virus from spreading. However, the cumulative workflow in the routine diagnostic …
Multiple ocular disease detection using novel ensemble models
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 …
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 …
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 …
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 …
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 …
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
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 …
affects tunnel vision at the early stages and progresses gradually without easily noticeable …