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[HTML][HTML] Analysis of various techniques for ECG signal in healthcare, past, present, and future
Cardiovascular diseases are the primary reason for mortality worldwide. As per WHO survey
report in 2019, 17.9 million people died due to CVDs, accounting for 32% of all global …
report in 2019, 17.9 million people died due to CVDs, accounting for 32% of all global …
Automated glaucoma screening and diagnosis based on retinal fundus images using deep learning approaches: A comprehensive review
Glaucoma is a chronic eye disease that may lead to permanent vision loss if it is not
diagnosed and treated at an early stage. The disease originates from an irregular behavior …
diagnosed and treated at an early stage. The disease originates from an irregular behavior …
Automatic diagnosis of glaucoma from retinal images using deep learning approach
Glaucoma is characterized by increased intraocular pressure and damage to the optic
nerve, which may result in irreversible blindness. The drastic effects of this disease can be …
nerve, which may result in irreversible blindness. The drastic effects of this disease can be …
Retinal vessel segmentation using multi-scale residual convolutional neural network (MSR-Net) combined with generative adversarial networks
Retinal fundus images provide valuable diagnostic and clinical information in the diagnosis
of ophthalmologic diseases. Retinal blood vessel analysis provides important diagnostic …
of ophthalmologic diseases. Retinal blood vessel analysis provides important diagnostic …
A fast and fully automated system for glaucoma detection using color fundus photographs
This paper presents a low computationally intensive and memory efficient convolutional
neural network (CNN)-based fully automated system for detection of glaucoma, a leading …
neural network (CNN)-based fully automated system for detection of glaucoma, a leading …
Glaucoma detection with retinal fundus images using segmentation and classification
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 …
Emperor penguin optimization algorithm-and bacterial foraging optimization algorithm-based novel feature selection approach for glaucoma classification from fundus …
Feature selection is an important component of the machine learning domain, which selects
the ideal subset of characteristics relative to the target data by omitting irrelevant data. For a …
the ideal subset of characteristics relative to the target data by omitting irrelevant data. For a …
Efficient feature selection based novel clinical decision support system for glaucoma prediction from retinal fundus images
The process of feature selection (FS) is vital aspect of machine learning (ML) model's
performance enhancement where the objective is the selection of the most influential subset …
performance enhancement where the objective is the selection of the most influential subset …
En‐ConvNet: A novel approach for glaucoma detection from color fundus images using ensemble of deep convolutional neural networks
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 …
Artificial intelligence in glaucoma: opportunities, challenges, and future directions
Artificial intelligence (AI) has shown excellent diagnostic performance in detecting various
complex problems related to many areas of healthcare including ophthalmology. AI …
complex problems related to many areas of healthcare including ophthalmology. AI …