Skin Cancer Detection
How our skin cancer detection tool works
Image Acquisition and Preprocessing
Users upload skin images, which are resized, normalized, and augmented to enhance quality and prepare for analysis.
Feature Extraction with EfficientB0 Algorithm
EfficientB0 algorithm extracts essential features from preprocessed images using advanced computer vision techniques, ensuring efficient and accurate processing
Classification Using Deep Learning Neural Networks
Besnet5O algorithm classifies extracted features, distinguishing between normal and infected skin with high accuracy using deep learning networks
Heatmap Plotting for Infected Areas
Generates heatmaps highlighting suspicious skin regions, guiding users and healthcare providers in identifying areas needing further medical attention.