Lung-RetinaNet: Lung cancer detection using a RetinaNet with multi-scale feature fusion and context module

R Mahum, AS Al-Salman - IEEE Access, 2023 - ieeexplore.ieee.org
Lung cancer is one of the terrible diseases in various countries around the globe, and timely
detection of the illness is still a challenging process. The oncologists consider the blood test …

A Robust Brain Tumor Detector Using BiLSTM and Mayfly Optimization and Multi-Level Thresholding

R Mahum, M Sharaf, H Hassan, L Liang, B Huang - Biomedicines, 2023 - mdpi.com
A brain tumor refers to an abnormal growth of cells in the brain that can be either benign or
malignant. Oncologists typically use various methods such as blood or visual tests to detect …

Metaheuristic Algorithms for the Classification and Prediction of Skin Lesions: A Comprehensive Review

A Mubeen, UN Dulhare - Machine Learning and Metaheuristics: Methods …, 2023 - Springer
One of the most challenging tasks in diagnosing skin lesions is classifying their types and
predicting their severity. In many of the cases, classification of skin lesions and extraction of …

An efficient computer-aided diagnosis model for classifying melanoma cancer using fuzzy-ID3-pvalue decision tree algorithm

H Rokhsati, K Rezaee, AA Abbasi… - Multimedia Tools and …, 2024 - Springer
Visual observation and dermoscopic analysis are the most common methods of diagnosing
skin cancer. In advanced stages, melanomas spread faster and are less responsive to …

Skin cancer diagnosis using artificial intelligence methods: a review of the most recent research

Y Dahdouh, AB Anouar… - … on Mathematical and …, 2023 - spiedigitallibrary.org
According to the most recent global cancer statistics from WHO, cancer is considered one of
the most severe diseases and is becoming one of the main reasons for human deaths …

An Improved Skin Lesion Classification Using a Hybrid Approach with Active Contour Snake Model and Lightweight Attention-Guided Capsule Networks

K Behara, E Bhero, JT Agee - Diagnostics, 2024 - mdpi.com
Skin cancer is a prevalent type of malignancy on a global scale, and the early and accurate
diagnosis of this condition is of utmost importance for the survival of patients. The clinical …

[PDF][PDF] A Robust Approach for Detection and Classification of KOA Based on BILSTM Network.

A Qadir, R Mahum, S Aladhadh - Computer Systems Science & …, 2023 - researchgate.net
A considerable portion of the population now experiences osteoarthritis of the knee, spine,
and hip due to lifestyle changes. Therefore, early treatment, recognition and prevention are …

A player-specific framework for cricket highlights generation using deep convolutional neural networks

R Mahum, A Irtaza, SU Rehman, T Meraj, HT Rauf - Electronics, 2022 - mdpi.com
Automatic ways to generate video summarization is a key technique to manage huge video
content nowadays. The aim of video summaries is to provide important information in less …

An efficient deepfake video detection using robust deep learning

A Qadir, R Mahum, MA El-Meligy, AE Ragab… - Heliyon, 2024 - cell.com
The creation and manipulation of synthetic images have evolved rapidly, causing serious
concerns about their effects on society. Although there have been various attempts to …

Fly-LeNet: A deep learning-based framework for converting multilingual braille images

A Al-Salman, A AlSalman - Heliyon, 2024 - cell.com
For many years, braille-assistive technologies have aided blind individuals in reading,
writing, learning, and communicating with sighted individuals. These technologies have …