A Systematic Review of Artificial Intelligence-Based Image Classification Techniques for Clinician Diagnosis of Skin Cancer Diseases
摘要
Skin cancer is a prevalent malignancy, and early detection is vital for effective treatment. However, visual examination of images for an accurate diagnosis is time-consuming and error-prone. Various computer-aided diagnosis methods have been developed to assist, but challenges persist in accurately identifying lesion features. This work aims to review AI-dependent lesion classification techniques for skin cancer prognosis. A systematic literature review was conducted to assess techniques, strengths, and limitations. Based on findings, a proposed system architecture with essential components is presented, offering a comprehensive understanding of skin lesion categorization techniques.