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 …
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 …
A novel deep learning technique for medical image analysis using improved optimizer
V Agarwal, MC Lohani, AS Bist - Health Informatics Journal, 2024 - journals.sagepub.com
Application of Convolutional neural network in spectrum of Medical image analysis are
providing benchmark outputs which converges the interest of many researchers to explore it …
providing benchmark outputs which converges the interest of many researchers to explore it …
Optic Disc Segmentation in Human Retina Images Using a Meta Heuristic Optimization Method and Disease Diagnosis with Deep Learning
H Almeshrky, A Karacı - Applied Sciences, 2024 - mdpi.com
Glaucoma is a common eye disease that damages the optic nerve and leads to loss of
vision. The disease shows few symptoms in the early stages, making its identification a …
vision. The disease shows few symptoms in the early stages, making its identification a …
Automatic Glaucoma Classification Using Residual Network Architecture
FM Ramaida, K Usman, NKC Pratiwi - Proceedings of the 2nd …, 2022 - Springer
Glaucoma is an eye disease with special characteristics such as neuropathy optic nerve
damage and visual field abnormalities. An increased intraocular pressure is a significant risk …
damage and visual field abnormalities. An increased intraocular pressure is a significant risk …
An Improved Mask-Guided Glaucoma Screening Method Based on Convolution Neural Network
Z Shen, Z Liu, J Tang - Archives of Clinical Psychiatry, 2023 - archivespsy.com
In recent years, computer intelligent technology has been widely used in clinical diagnosis.
Glaucoma is concealed and difficult to cure, so the early diagnosis is vital important for …
Glaucoma is concealed and difficult to cure, so the early diagnosis is vital important for …
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 …
Performance Analysis for Glaucoma Diagnosis Using Transfer Learning on the PAPILA Dataset
Glaucoma, a serious vision illness that can result in irreversible vision loss, has a huge
influence on the health of people all over the world because it causes damage to the optic …
influence on the health of people all over the world because it causes damage to the optic …
Towards Robust Diagnosis of Alzheimer's Disease Using Ensemble Framework of Convolutional Neural Network and Vision Transformer
P Elangovan, MK Nath - Handbook of AI-Based Models in Healthcare … - taylorfrancis.com
Alzheimer's disease (AD) is the most pervasive and incurable neurodegenerative ailment
that wreaks havoc on the mind's memory. As the progression of AD is irreversible, early …
that wreaks havoc on the mind's memory. As the progression of AD is irreversible, early …