Image Quality Assessment of Diabetic Retinopathy Based on ADD-Net
P Zhang, T Hu, X Han, X Liu, J Ni, J Shen, Q Liu - IEEE Access, 2023 - ieeexplore.ieee.org
Retinal image quality assessment (RIQA) is a precondition for diabetic retinopathy screening
and diagnosis. Current RIQA network tend to place too much emphasis on performance …
and diagnosis. Current RIQA network tend to place too much emphasis on performance …
Detection and Classification of Skin Cancer Using Binary Classifier, Residual Network, and Convolutional Neural Network
U Pilania, M Kumar, P Garg… - 2024 2nd International …, 2024 - ieeexplore.ieee.org
Skin cancer is a very dangerous form of cancer as it transfers from one part of the body to the
other part. It can occur in any age group but is very common in old people. For effective …
other part. It can occur in any age group but is very common in old people. For effective …
A Deep Ensemble Learning Network-based Approach to Detect Neurodegenerative Diseases
Neurodegenerative diseases, such as Alzheimer's and Parkinson's, pose significant
challenges to global healthcare systems due to their increasing prevalence and the …
challenges to global healthcare systems due to their increasing prevalence and the …
LSTM-based Approach for Android Malware Detection
The rise of Android malware has become a growing concern for individuals, institutions, and
governments around the world. As the popularity of Android devices grows continuously …
governments around the world. As the popularity of Android devices grows continuously …
Detection of Safety Helmets Using YOLOv5s Model
With the increasing number of vehicles, these days the road accident is becoming very
common in society. The manual detection of helmet is very time-consuming and requires a …
common in society. The manual detection of helmet is very time-consuming and requires a …
Diabetic Type II Prediction Using Fused Machine Learning
In medicine, early illness prediction is crucial for disease prevention. Diabetes is one of the
world's worst illnesses. Due to the prevalence of sugar and fat in contemporary society …
world's worst illnesses. Due to the prevalence of sugar and fat in contemporary society …
Utilizing YOLOv5x for the Detection and Classification of Brain Tumors
Development in image processing and Deep Learning (DL) techniques have many
applications in the medical field. In this work, YOLOv5x (You Only Look Once) has been …
applications in the medical field. In this work, YOLOv5x (You Only Look Once) has been …
XAI Meets Ophthalmology: An Explainable Approach to Cataract Detection Using VGG-19 and Grad-CAM
H Shah, R Patel, S Hegde… - 2023 IEEE Pune Section …, 2023 - ieeexplore.ieee.org
Cataract is the most common cause of blindness in the world, and early detection is critical
for successful treatment. Deep learning algorithms have recently demonstrated promising …
for successful treatment. Deep learning algorithms have recently demonstrated promising …
Machine Learning-Based Diabetic Retinopathy Detection: Exploring Techniques and Methods
M Kumar, U Pilania, A Tyagi, A Patara… - … Conference on Cognitive …, 2023 - Springer
Diabetic retinopathy, a prevalent eye disorder and a complication of diabetes, poses a risk of
vision loss. Signs of diabetic retinopathy including subtle or entirely absent and eventual …
vision loss. Signs of diabetic retinopathy including subtle or entirely absent and eventual …
Leveraging Cataract Detection Algorithms to Assess the Effectiveness of Remote & Automatic Cataract Screening Within the Ghanaian Context
NN Nanka-Bruce - 2024 - air.ashesi.edu.gh
Cataracts are a condition of the eye where the eye lens becomes cloudy and difficult to see
through. They can be managed through early detection and surgery. However, they are the …
through. They can be managed through early detection and surgery. However, they are the …