Héctor Carrión

Malignancy classification accuracy improves by up to 13.9% on unseen data, thanks to a groundbreaking approach that generates over 400,000 diverse synthetic dermatological images from just 10 training samples.

Achieving accurate 3D reconstructions from a single image could revolutionize how dermatologists assess and monitor skin lesions.