Intelligent System for Early Diagnosis of Skin Cancer using Bilinear CNN and Soft Attention Approach

AKS Pundir, MAA Walid, P Adivarekar… - … on Electronics and …, 2023 - ieeexplore.ieee.org
Skin cancer is becoming the leading cause of death in the Western world. Although sun
exposure is a major risk factor for the development of skin cancer, this malignant neoplasm …

Boosted dipper throated optimization algorithm-based Xception neural network for skin cancer diagnosis: An optimal approach

X Tang, FR Sheykhahmad - Heliyon, 2024 - cell.com
Skin cancer is a prevalent form of cancer that necessitates prompt and precise detection.
However, current diagnostic methods for skin cancer are either invasive, time-consuming, or …

Two-stream convolutional networks for skin cancer classification

M Aloraini - Multimedia Tools and Applications, 2024 - Springer
Skin cancer has become a popular disease as it represents one-third of all diagnosed
cancers around the world. This cancer kills many people every year, and it is therefore …

Next-gen breast cancer diagnosis: iembc as an iomt-enabled cloud computing solution

S Rawas, C Tafran - Multimedia Tools and Applications, 2024 - Springer
Internet of medical things (IOMT) is a revolutionary newly emerging technology that is
capable to increase accuracy, reliability, and productivity in the healthcare sector. A smart …

A review of various techniques used for classification of dermatoscopic images using machine learning or deep learning classifiers

V Srivastava, V Pandey - 2023 Second International …, 2023 - ieeexplore.ieee.org
Skin cancer is one of the most widespread and lethal type of cancer. It is getting more
prevalent in today's world due to increase in exposure to harmful radiations and chemicals …

A Hybrid Approach for Optimal Multi-Class Classification of Neglected Tropical Skin Diseases using Multi-Channel HOG Features

N Steyve - Indonesian Journal of Electronics …, 2024 - ijeeemi.poltekkesdepkes-sby.ac.id
Problem statemen: According to the WHO, the eradication of neglected tropical skin
diseases is possible by 2030 if an early test to distinguish these diseases is available. For …

Enhanced Skin Cancer Detection and Segmentation with Graph-Based Convolutional Neural Network Models

LR Sujithra, S Kannan, P Kapse, BA Brundha - 2024 - papers.ssrn.com
Melanoma is the most deadly and dangerous type of skin cancer. Modern technological
advancements and research approaches have made it simpler to detect and diagnose this …