Risk score stratification of cutaneous melanoma patients based on whole slide images analysis by deep learning.
Journal:
Journal of the European Academy of Dermatology and Venereology : JEADV
Published Date:
Jan 24, 2025
Abstract
BACKGROUND: There is a need to improve risk stratification of primary cutaneous melanomas to better guide adjuvant therapy. Taking into account that haematoxylin and eosin (HE)-stained tumour tissue contains a huge amount of clinically unexploited morphological informations, we developed a weakly-supervised deep-learning approach, SmartProg-MEL, to predict survival outcomes in stages I to III melanoma patients from HE-stained whole slide image (WSI).
