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 …
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 deep neural network and machine learning approach for retinal fundus image classification
R Thanki - Healthcare Analytics, 2023 - Elsevier
Diabetes is a common chronic disease and a major public health problem approaching
epidemic proportions globally. People with diabetes are more likely to suffer from glaucoma …
epidemic proportions globally. People with diabetes are more likely to suffer from glaucoma …
Automated tool support for glaucoma identification with explainability using fundus images
Glaucoma is a progressive eye condition that causes irreversible vision loss due to damage
to the optic nerve. Recent developments in deep learning and the accessibility of computing …
to the optic nerve. Recent developments in deep learning and the accessibility of computing …
Artificial intelligence in the diagnosis of glaucoma and neurodegenerative diseases
Artificial Intelligence is a rapidly expanding field within computer science that encompasses
the emulation of human intelligence by machines. Machine learning and deep learning–two …
the emulation of human intelligence by machines. Machine learning and deep learning–two …
Detection of glaucoma on fundus images using deep learning on a new image set obtained with a smartphone and handheld ophthalmoscope
CP Bragança, JM Torres, CPA Soares, LO Macedo - Healthcare, 2022 - mdpi.com
Statistics show that an estimated 64 million people worldwide suffer from glaucoma. To aid
in the detection of this disease, this paper presents a new public dataset containing eye …
in the detection of this disease, this paper presents a new public dataset containing eye …
A comprehensive review of methods and equipment for aiding automatic glaucoma tracking
Glaucoma is a chronic optic neuropathy characterized by irreversible damage to the retinal
nerve fiber layer (RNFL), resulting in changes in the visual field (VC). Glaucoma screening is …
nerve fiber layer (RNFL), resulting in changes in the visual field (VC). Glaucoma screening is …
Leveraging Probabilistic Segmentation Models for Improved Glaucoma Diagnosis: A Clinical Pipeline Approach
AM Wundram, P Fischer, S Wunderlich… - Medical Imaging with …, 2024 - openreview.net
The accurate segmentation of the optic cup and disc in fundus images is essential for
diagnostic processes such as glaucoma detection. The inherent ambiguity in locating these …
diagnostic processes such as glaucoma detection. The inherent ambiguity in locating these …
Retinal fundus image enhancement using an ensemble framework for accurate glaucoma detection
Retinal fundus imaging plays a crucial role in the diagnosis of ophthalmic diseases such as
glaucoma, a significant cause of vision loss worldwide. Accurate detection of glaucoma …
glaucoma, a significant cause of vision loss worldwide. Accurate detection of glaucoma …
Detecting glaucoma from fundus images using ensemble learning
V Kurilová, S Rajcsányi, Z Rábeková… - Journal of Electrical …, 2023 - sciendo.com
Glaucomatous changes of the optic nerve head could be detected from fundus images.
Focusing on optic nerve head appearance, and its difference from healthy images …
Focusing on optic nerve head appearance, and its difference from healthy images …