[PDF][PDF] The prediction process based on deep recurrent neural networks: a review
DQ Zeebaree, AM Abdulazeez… - Asian Journal of …, 2021 - researchgate.net
Prediction is vital in our daily lives, as it is used in various ways, such as learning, adapting,
predicting, and classifying. The prediction of parameters capacity of RNNs is very high; it …
predicting, and classifying. The prediction of parameters capacity of RNNs is very high; it …
An early-stage diagnosis of diabetic retinopathy based on ensemble framework
Diabetic retinopathy (DR) is one of the most common causes of vision loss worldwide. Early
identification and detection of DR, aided by a retinal fundus scan, can prevent the disease's …
identification and detection of DR, aided by a retinal fundus scan, can prevent the disease's …
Ocular Disease Recognition Based on Deep Learning: A Comprehensive Review
D Jameel, AM Abdulazeez - The Indonesian Journal of Computer Science, 2024 - ijcs.net
This review article represents a major advance in the field of medical imaging and
ophthalmology by exploring the critical role of deep learning in the detection and diagnosis …
ophthalmology by exploring the critical role of deep learning in the detection and diagnosis …
Bayesian Deep Learning Applied to Diabetic Retinopathy with Uncertainty Quantification
Deep Learning (DL) has significantly contributed to the field of medical imaging in recent
years, leading to advancements in disease diagnosis and treatment. In the case of Diabetic …
years, leading to advancements in disease diagnosis and treatment. In the case of Diabetic …
[PDF][PDF] Diagnostic Tool for Diabetic Retinopathy using Thermal Eye Images
N Rajagopalan, K Nirmala, M Vahini, S Nisha… - qirt.gel.ulaval.ca
Diabetic Retinopathy (DR) occurs as an effect of Diabetes, affecting the retina causing loss
of vision. Worldwide 27% of the diabetic individuals are estimated to have DR, leading to 0.4 …
of vision. Worldwide 27% of the diabetic individuals are estimated to have DR, leading to 0.4 …