The purpose of this repository is to explore the use of deep learning models for wound classification or wound prediction.
The data
folder contains the Medetec Wound Dataset, a collection of 15 wound categories and 594 images
.
- abdominal-wounds |
12 images
- burns |
20 images
- epidermolysis-bullosa |
5 images
- extravasation-wound-images |
18 images
- foot-ulcers |
48 images
- haemangioma |
6 images
- leg-ulcer-images|
135 images
- malignant-wound-images |
9 images
- meningitis |
25 images
- miscellaneous |
56 images
- orthopaedic-wounds |
49 images
- pilonidal-sinus |
3 images
- pressure-ulcer-images-a |
100 images
- pressure-ulcer-images-b |
74 images
- toes |
34 images