Automated Skin Cancer Diagnosis and Localization Using Deep Reinforcement Learning

G Renith, A Senthilselvi - IETE Journal of Research, 2024 - Taylor & Francis
Skin cancer is a significant and life-threatening medical condition caused by abnormal cell
growth in the skin. Early detection and accurate diagnosis are critical for effective treatment …

[HTML][HTML] Skin Cancer Detection Using Transfer Learning and Deep Attention Mechanisms

A Alotaibi, D AlSaeed - Diagnostics, 2025 - pmc.ncbi.nlm.nih.gov
Background/Objectives: Early and accurate diagnosis of skin cancer improves survival rates;
however, dermatologists often struggle with lesion detection due to similar pigmentation …

SkinLiTE: Lightweight Supervised Contrastive Learning Model for Enhanced Skin Lesion Detection and Disease Typification in Dermoscopic Images

SM Alzahrani - Current Medical Imaging, 2024 - benthamdirect.com
Introduction: This study introduces SkinLiTE, a lightweight supervised contrastive learning
model tailored to enhance the detection and typification of skin lesions in dermoscopic …

CrypTest: Evaluation of CKKS-based Homomorphic Cryptosystems using Deep Spiking Neural Network Diagnostics via Aphid Ant Optimization

SD Prasanna, AN Khan, S Poovarasan… - … Conference on I …, 2024 - ieeexplore.ieee.org
Evaluation and diagnosing are critical in managing the security and efficiency of any
cryptographic systems. Correct assessments assist in defining the threats and strengthening …

A Novel Approach for Breast Cancer Detection by Mammograms

P Kumar, D Bhavani - 2024 3rd International Conference for …, 2024 - ieeexplore.ieee.org
The most prevalent illness among women is breast cancer. The number of cases of breast
cancer is rising daily and is increasing. To help the radiologist with the task of interpreting …