Enhanced Multi-Class Skin Cancer Classification Through Scd-Net on Dermoscopy Data

Abstract

steadily increasing in recent years. Early and accurate diagnosis is crucial for effective treatment and improved patient outcomes. However, communication barriers between patients and dermatologists often result in a knowledge gap regarding the symptoms and stages of various skin conditions. To address this issue, this study introduces a novel deep learning–based skin disease classification model utilizing advanced machine learning techniques.