Nail Fungus Progress Tracker

Deep Learning computer vision model that detects the affected fungal area of the nail.

A doctor checking a patients feet for nail diseases like nail fungus.

The model is used for classifying the severity of onychomycosis by detecting the affected fungal area of the nail plate. This can be used to calculate the Onychomycosis Severity Index (OSI) to visualize the treatment progress.

Detect the affected fungal area: The model can differentiate between healthy and unhealthy fungal nail area.

Calculate onychomycosis severity: The model calculates the Onychomycosis severity index (OSI) automatically.

Highly accurate segmentation: The model achieves high segmentation accuracies.