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A survey of recent advances in analysis of skin images
Skin disorders significantly impact quality of life, necessitating advanced diagnostic tools.
Machine Learning (ML) and Deep Learning (DL), particularly Convolutional Neural …
Machine Learning (ML) and Deep Learning (DL), particularly Convolutional Neural …
[HTML][HTML] Systematic Review of Deep Learning Techniques in Skin Cancer Detection
C Magalhaes, J Mendes, R Vardasca - BioMedInformatics, 2024 - mdpi.com
Skin cancer is a serious health condition, as it can locally evolve into disfiguring states or
metastasize to different tissues. Early detection of this disease is critical because it increases …
metastasize to different tissues. Early detection of this disease is critical because it increases …
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 …
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
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 …
malignant. Oncologists typically use various methods such as blood or visual tests to detect …
An efficient computer-aided diagnosis model for classifying melanoma cancer using fuzzy-ID3-pvalue decision tree algorithm
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. In advanced stages, melanomas spread faster and are less responsive to …
An Improved Skin Lesion Classification Using a Hybrid Approach with Active Contour Snake Model and Lightweight Attention-Guided Capsule Networks
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 …
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 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 …
and hip due to lifestyle changes. Therefore, early treatment, recognition and prevention are …
An efficient deepfake video detection using robust deep learning
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 …
concerns about their effects on society. Although there have been various attempts to …
A player-specific framework for cricket highlights generation using deep convolutional neural networks
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 …
content nowadays. The aim of video summaries is to provide important information in less …
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 …
writing, learning, and communicating with sighted individuals. These technologies have …