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A comprehensive review of deep learning strategies in retinal disease diagnosis using fundus images
In recent years, there has been an unprecedented growth in computer vision and deep
learning implementation owing to the exponential rise of computation infrastructure. The …
learning implementation owing to the exponential rise of computation infrastructure. The …
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 …
Hybrid retinal image enhancement algorithm for diabetic retinopathy diagnostic using deep learning model
Diabetic Retinopathy (DR) is a prevalent acute stage of diabetes mellitus that causes vision-
effecting abnormalities on the retina. This will cause blindness if not identified early …
effecting abnormalities on the retina. This will cause blindness if not identified early …
An efficient pest detection framework with a medium-scale benchmark to increase the agricultural productivity
Insect pests and crop diseases are considered the major problems for agricultural
production, due to the severity and extent of their occurrence causing significant crop losses …
production, due to the severity and extent of their occurrence causing significant crop losses …
A deep learning approach for multi‐stage classification of brain tumor through magnetic resonance images
Brain tumor is the 10th major cause of death among humans. The detection of brain tumor is
a significant process in the medical field. Therefore, the objective of this research work is to …
a significant process in the medical field. Therefore, the objective of this research work is to …
Deep learning for pneumonia diagnosis using cxr images
Pneumonia is a life-threatening infection that affects the lungs caused by bacterial or virus
attacks. It fills the air sacs of the lungs with pus or fluid. The factors that cause pneumonia …
attacks. It fills the air sacs of the lungs with pus or fluid. The factors that cause pneumonia …
Detection of liver cancer through computed tomography images using deep convolutional neural networks
Liver cancer is the fifth most common type of tumor in men and the ninth most common type
of tumor in women. After taking a sample of liver tissue, imaging tests like computed …
of tumor in women. After taking a sample of liver tissue, imaging tests like computed …
Computer-aided system for pneumothorax detection through chest X-ray images using convolutional neural network
A pneumothorax (PTX) is a serious condition that can cause death in people because of
breathing difficulties. Therefore, the identification of lesions in the lungs, such as …
breathing difficulties. Therefore, the identification of lesions in the lungs, such as …
Melanoma classification through deep learning using dermoscopic images
Melanoma is known to be the most common type of skin cancer that has a great impact on
human beings around the globe. Since melanoma cells cannot be seen with the naked eye …
human beings around the globe. Since melanoma cells cannot be seen with the naked eye …
Improved Whale Optimization Algorithm with Deep Learning-Driven Retinal Fundus Image Grading and Retrieval
SISM Shazuli, A Saravanan - Engineering, Technology & Applied Science …, 2023 - etasr.com
Abstract Several Deep Learning (DL) and medical image Machine Learning (ML) methods
have been investigated for efficient data representations of medical images, such as image …
have been investigated for efficient data representations of medical images, such as image …