Epidermis thickness
The Epidermis Thickness AI model allows you to estimate the average thickness of the epidermal layer of the skin on H&E stained whole slide images (WSIs).
Training Dataset:
The model was trained on a dataset comprising 114 WSIs containing labeled epidermis layer masks created by professional dermatopathologists.
Performance Metrics:
Intersection over Union (IoU): 0.82
Accuracy: 0.91
DICE: 0.89
Algorithm Description
The algorithm first runs the epidermis segmentation model, then measures and averages the distance between segmented tissue borders. The model returns a segmentation mask with the average epidermis thickness.
Technical Details
Compatible with most modern web browsers and mobile devices.
Optimal performance is achieved with at least 2GB of RAM and a stable internet connection.