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 …
[HTML][HTML] Emerging trends and research foci in artificial intelligence for retinal diseases: Bibliometric and visualization study
J Zhao, Y Lu, Y Qian, Y Luo, W Yang - Journal of Medical Internet Research, 2022 - jmir.org
Background Patients with retinal diseases may exhibit serious complications that cause
severe visual impairment owing to a lack of awareness of retinal diseases and limited …
severe visual impairment owing to a lack of awareness of retinal diseases and limited …
Multi-level deep learning model for potato leaf disease recognition
Potato leaf disease detection in an early stage is challenging because of variations in crop
species, crop diseases symptoms and environmental factors. These factors make it difficult …
species, crop diseases symptoms and environmental factors. These factors make it difficult …
Brain tumor detection and classification using fine-tuned CNN with ResNet50 and U-Net model: A study on TCGA-LGG and TCIA dataset for MRI applications
Nowadays, brain tumors have become a leading cause of mortality worldwide. The brain
cells in the tumor grow abnormally and badly affect the surrounding brain cells. These cells …
cells in the tumor grow abnormally and badly affect the surrounding brain cells. These cells …
RMU-net: a novel residual mobile U-net model for brain tumor segmentation from MR images
The most aggressive form of brain tumor is gliomas, which leads to concise life when high
grade. The early detection of glioma is important to save the life of patients. MRI is a …
grade. The early detection of glioma is important to save the life of patients. MRI is a …
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 …
[PDF][PDF] Enhanced Detection of Glaucoma on Ensemble Convolutional Neural Network for Clinical Informatics.
Irretrievable loss of vision is the predominant result of Glaucoma in the retina. Recently,
multiple approaches have paid attention to the automatic detection of glaucoma on fundus …
multiple approaches have paid attention to the automatic detection of glaucoma on fundus …
Natural disasters intensity analysis and classification based on multispectral images using multi-layered deep convolutional neural network
Natural disasters not only disturb the human ecological system but also destroy the
properties and critical infrastructures of human societies and even lead to permanent …
properties and critical infrastructures of human societies and even lead to permanent …
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 …
[HTML][HTML] A systematic analysis of machine learning and deep learning based approaches for identifying and diagnosing plant diseases
In agriculture, one of the most challenging tasks is the early detection of plant diseases. It is
essential to identify diseases early in order to boost agricultural productivity. This problem …
essential to identify diseases early in order to boost agricultural productivity. This problem …