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A survey on deep-learning-based diabetic retinopathy classification
The number of people who suffer from diabetes in the world has been considerably
increasing recently. It affects people of all ages. People who have had diabetes for a long …
increasing recently. It affects people of all ages. People who have had diabetes for a long …
Analysis of deep learning techniques for prediction of eye diseases: A systematic review
The prediction and early diagnosis of eye diseases are critical for effective treatment and
prevention of vision loss. The identification of eye diseases has recently been the subject of …
prevention of vision loss. The identification of eye diseases has recently been the subject of …
[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 …
An augmented artificial intelligence approach for chronic diseases prediction
Chronic diseases are increasing in prevalence and mortality worldwide. Early diagnosis has
therefore become an important research area to enhance patient survival rates. Several …
therefore become an important research area to enhance patient survival rates. Several …
Melanoma segmentation: A framework of improved DenseNet77 and UNET convolutional neural network
Melanoma is the most fatal type of skin cancer which can cause the death of victims at the
advanced stage. Extensive work has been presented by the researcher on computer vision …
advanced stage. Extensive work has been presented by the researcher on computer vision …
CXray-EffDet: chest disease detection and classification from X-ray images using the EfficientDet model
The competence of machine learning approaches to carry out clinical expertise tasks has
recently gained a lot of attention, particularly in the field of medical-imaging examination …
recently gained a lot of attention, particularly in the field of medical-imaging examination …
Diagnosis of retinal diseases based on Bayesian optimization deep learning network using optical coherence tomography images
M Subramanian, MS Kumar… - Computational …, 2022 - Wiley Online Library
Retinal abnormalities have emerged as a serious public health concern in recent years and
can manifest gradually and without warning. These diseases can affect any part of the retina …
can manifest gradually and without warning. These diseases can affect any part of the retina …
A novel technique for handwritten digit recognition using deep learning
Handwritten digit recognition (HDR) shows a significant application in the area of
information processing. However, correct recognition of such characters from images is a …
information processing. However, correct recognition of such characters from images is a …
Deep learning approach for stages of severity classification in diabetic retinopathy using color fundus retinal images
Diabetes is a very fast‐growing disease in India, with currently more than 72 million patients.
Prolonged diabetes (about almost 20 years) can cause serious loss to the tiny blood vessels …
Prolonged diabetes (about almost 20 years) can cause serious loss to the tiny blood vessels …
Eye disease classification using deep learning techniques
Eye is the essential sense organ for vision function. Due to the fact that certain eye disorders
might result in vision loss, it is essential to diagnose and treat eye diseases early on. By …
might result in vision loss, it is essential to diagnose and treat eye diseases early on. By …