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
A Bali, V Mansotra - Archives of Computational Methods in Engineering, 2024 - Springer
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 …
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 …
An augmented artificial intelligence approach for chronic diseases prediction
J Rashid, S Batool, J Kim, M Wasif Nisar… - Frontiers in Public …, 2022 - frontiersin.org
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 …
[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 …
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 …
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 …
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 …
Automatic classification of retinal diseases with transfer learning-based lightweight convolutional neural network
Z Lu, J Miao, J Dong, S Zhu, X Wang, J Feng - … Signal Processing and …, 2023 - Elsevier
Diabetic retinopathy (DR) and diabetic macular edema (DME) are the major causes of
permanent blindness in the working-age population. Deep learning methods have been …
permanent blindness in the working-age population. Deep learning methods have been …