Скачать или смотреть IMCCRT-2024-8144 Title - A Comprehensive Analysis on Diverse Types of Skin Cancer and Enhanced

Title - A Comprehensive Analysis on Diverse Types of Skin Cancer and Enhanced Detection Techniques using Hyperspectral Image Processing

Author's Name - P Babu, Dr. T Meyyappan

Abstract - Skin cancer, a major public health issue, manifests in various forms, notably melanoma, basal cell carcinoma, and squamous cell carcinoma. The prognosis for skin cancer is highly dependent on early detection, which has been significantly advanced by hyperspectral image processing. This cutting-edge technique captures a wide spectrum of light beyond visible colours, providing detailed spectral information that can be used to identify and classify skin lesions with high precision. Hyperspectral image processing (HIS) has emerged as a promising tool for non-invasive, high-resolution imaging of skin lesions. This comprehensive analysis reviews recent advancements to classify and segment skin lesions, machine learning and robust statistical methods. This comprehensive analysis examines the application of hyperspectral imaging in the detection and differentiation of skin cancer types. It outlines the principles of hyperspectral image acquisition and the subsequent processing techniques that enhance the detection capabilities. The paper discusses the integration of machine learning algorithms with hyperspectral data, which allows for the development of robust diagnostic models capable of identifying subtle variations in skin lesions that are indicative of different cancer types. The need for explainability and robustness in decision-making processes is emphasized to ensure the effective translation of HIS into clinical practice.

Keywords: classification, detection of skin lesions, hyperspectral imaging, melanoma skin cancer, comprehensive analysis.