Automatic classification of skin lesions
Pathology services in the Western Norway Health Region – a center for applied digitization: Automatic classification of skin lesions
Financed by Helse Vest
prof. Kjersti Engang, University of Stvanger
prof. Carlos Monteagudo, INICLIVA, Valencia, Spain
To develop a Computer-aided Diagnostic (CAD) system for whole slide images that will help pathology departments to diagnose malignant melanoma more efficiently, by (1) reducing examination time, (2) reducing diagnostic variations and (3) increase diagnostic accuracy.
Melanoma of the skin is the cancer type with the largest increase in incidence during the last decade. Currently, after excision of a suspicious skin lesion, the tissue is fixed in buffered formalin and a histological section is examined under a microscope by a trained expert pathologist. The pathologists use their deep domain knowledge to identify several possible complex morphological and cytological features. Unfortunately, this manual diagnosis of skin cancer is a time- and labour intensive task and not always that easy and reproducible. In addition, the sheer amount of skin biopsies causes logistic and personnel issues. The main challenge is to find the few malignant melanomas among all the other benign or less malign skin cancers.
2021 - 2024
Testing og validering
All skin lesions diagnozed at the Department of pathology (SUH) between 2008-2012