A comprehensive review of deep learning strategies in retinal disease diagnosis using fundus images

B Goutam, MF Hashmi, ZW Geem, ND Bokde - IEEE Access, 2022 - ieeexplore.ieee.org
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 …

Artificial intelligence in glaucoma: opportunities, challenges, and future directions

X Huang, MR Islam, S Akter, F Ahmed… - BioMedical Engineering …, 2023 - Springer
Artificial intelligence (AI) has shown excellent diagnostic performance in detecting various
complex problems related to many areas of healthcare including ophthalmology. AI …

Hybrid retinal image enhancement algorithm for diabetic retinopathy diagnostic using deep learning model

SH Abbood, HNA Hamed, MSM Rahim… - IEEE …, 2022 - ieeexplore.ieee.org
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 …

An efficient pest detection framework with a medium-scale benchmark to increase the agricultural productivity

S Aladhadh, S Habib, M Islam, M Aloraini, M Aladhadh… - Sensors, 2022 - mdpi.com
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 …

A deep learning approach for multi‐stage classification of brain tumor through magnetic resonance images

S Gull, S Akbar, SM Naqi - International Journal of Imaging …, 2023 - Wiley Online Library
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 …

Deep learning for pneumonia diagnosis using cxr images

A Ijaz, S Akbar, B AlGhofaily… - … Conference of Women …, 2023 - ieeexplore.ieee.org
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 …

Detection of liver cancer through computed tomography images using deep convolutional neural networks

Z Naaqvi, S Akbar, SA Hassan… - 2022 2nd International …, 2022 - ieeexplore.ieee.org
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 …

Computer-aided system for pneumothorax detection through chest X-ray images using convolutional neural network

F Urooj, S Akbar, SA Hassan… - … Conference on IT and …, 2023 - ieeexplore.ieee.org
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 …

Melanoma classification through deep learning using dermoscopic images

AB Farooq, S Akbar, R Arif… - … Conference on IT and …, 2023 - ieeexplore.ieee.org
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 …

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 …