OpenDemoDescription
The SymDerm Dataset is a collection of annotations of how symmetric skin lesions appear.
Each skin lesion is classified according as:
- Completely symmetric (2 perpendicular axes of symmetry).
- Partially symmetric (1 axis of symmetry).
- Asymmetric (No axes of symmetry).
This annotations are done by three different dermatologists on 615 images (1845 annotations in total) considering both the shape and the color/structures of the skin lesion. More information about the dataset can be found in:
[1] Talavera-Martínez, Lidia, et al. "A novel approach for skin lesion symmetry classification with a deep learning model." Computers in Biology and Medicine 145 (2022): 105450.
Samples
This section contains some examples of the images and the annotations that are part of the database.
- Symmetric in 2 perpendicular axes
- Symmetric in 1 axis
- Asymmetric
Access
Access to the database is free but restricted, to allow us to keep track of how much it is used, and in which projects. To get free access to the database, please contact us by email:
Acknowledgements
This work was partially supported by the R+D+i Project PID2020-113870GB-I00-“Desarrollo de herramientas de Soft Computing para la Ayuda al Diagnóstico Clínico y a la Gestión de Emergencias (HESOCODICE)”, funded by MCIN/AEI/10.13039/501100011033/.
