Deep Learning Skin Cancer Detection (Multi-Type, ISIC2018)

Project Overview

This project leverages state-of-the-art deep learning techniques to classify multiple types of skin lesions from the ISIC2018 dataset. The model is trained to detect and categorize skin cancer types accurately, with a focus on robustness and real-world applicability.

Features

• Multi-class skin lesion classification
• Data augmentation and preprocessing for improved generalization
• Model evaluation with precision, recall, and F1-score
• User-friendly visualization of predictions

Installation & Usage

Check the GitHub repository for code, installation instructions, and examples.

Visualization

This preview shows the deep learning model detecting and classifying skin lesions, highlighting the AI-powered approach.