Classification of eye diseases using hybrid CNN-RNN models
M Londhe - 2021 - norma.ncirl.ie
Early diagnosis of eye diseases is essential to prevent irreversible vision loss. The
traditional method used by ophthalmologists is to manually screen, images captured of back …
traditional method used by ophthalmologists is to manually screen, images captured of back …
Deep learning-based CNN for multiclassification of ocular diseases using transfer learning
Effective and timely diagnosis and treatment of ocular diseases is essential for swift recovery
of the patients. Among ocular diseases, cataract and glaucoma are the most prevalent …
of the patients. Among ocular diseases, cataract and glaucoma are the most prevalent …
[PDF][PDF] Multiclass Classification and Identification of the External Eye Diseases using Deep CNN
F Rashid, J Abate, A Abdi - Indian Journal …, 2024 - sciresol.s3.us-east-2.amazonaws …
Objective: These eye illnesses can be either internal eye diseases or external eye diseases.
The purpose of research is to find the right model for better performance to identify the …
The purpose of research is to find the right model for better performance to identify the …
EyeCNN: exploring the potential of convolutional neural networks for identification of multiple eye diseases through retinal imagery
Background The eyes are the most important part of the human body as these are directly
connected to the brain and help us perceive the imagery in daily life whereas, eye diseases …
connected to the brain and help us perceive the imagery in daily life whereas, eye diseases …
Eye disease classification based on fundus images using convolutional neural network
R Denandra, A Fariza… - 2023 International …, 2023 - ieeexplore.ieee.org
The eye is a vital organ in the human body. Through the eyes, humans can absorb over 80%
of visual information used to carry out various daily activities. However, in Indonesia, there …
of visual information used to carry out various daily activities. However, in Indonesia, there …
A transfer learning enabled approach for ocular disease detection and classification
Ocular diseases pose significant challenges in timely diagnosis and effective treatment.
Deep learning has emerged as a promising technique in medical image analysis, offering …
Deep learning has emerged as a promising technique in medical image analysis, offering …
Clinical decision support system for ophthalmologists for eye disease classification
V Sivamurugan, P Indumathi… - IETE Journal of …, 2023 - Taylor & Francis
In medical applications, ocular OCT (optical coherence tomography) is used to assess
glaucoma, macular degeneration, diabetic macular edema and other eye diseases as it is …
glaucoma, macular degeneration, diabetic macular edema and other eye diseases as it is …
A deep learning model and a dataset for diagnosing ophthalmology diseases
RM Duwairi, SA Al-Zboon, RA Al-Dwairi… - Journal of Information & …, 2021 - World Scientific
The rapid development of artificial neural network techniques, especially convolutional
neural networks, encouraged the researchers to adapt such techniques in the medical …
neural networks, encouraged the researchers to adapt such techniques in the medical …
Deep Learning-Based Classification of Ocular Diseases Using Convolutional Neural Networks
Ocular diseases can range from mild discomfort to severe vision loss or even blindness, and
can affect people of all ages. Early detection and treatment are crucial to prevent or delay …
can affect people of all ages. Early detection and treatment are crucial to prevent or delay …
An efficient deep learning model for eye disease classification
Early detection of eye diseases is crucial, particularly for individuals with a family history of
eye diseases, people over 60 years of age, individuals with diabetes, and those who have a …
eye diseases, people over 60 years of age, individuals with diabetes, and those who have a …