Dataset Card for dermatological diagnoses
This dataset is intended for the study of GAN-based methods applied to the generation and augmentation of skin lesion datasets. Its main goal is to support research on dermatological image synthesis, data augmentation, and the improvement of deep learning models for skin lesion analysis and computer-aided diagnosis. This resource is designed to support comparative studies on synthetic image generation, class balancing, and dataset expansion in the dermatology domain, contributing to the development of artificial intelligence methods for skin lesion analysis. The datasets come from various sources and have been preprocessed and standardized so that they can be immediately used with your preferred model.
You can find 25 datasets that have been used in several articles and competitions on the subject, from 2 to 198 categories. The DERM-LIB dataset requires a license that can be obtained here: https://licensing.edinburgh-innovations.ed.ac.uk/product/dermofit-image-library.
Below, we present examples of how you can download and use each of them.
How to use
- Funded by: Research group KDIS (Knowledge Discovery and Intelligent Systems), University of Cordoba, Spain, https://www.uco.es/kdis/.
- Downloads last month
- 647