Author:
Bogusław Cyganek
Affiliation:
AGH University of Krakow, Al. Mickiewicza 30, 30-059 Kraków, Poland
Keyword(s):
Medical Image Processing, Histopathology, H&E Staining, Whole Slide Images (WSI), High-Dynamic Range, Image Enhancement, Deep Learning.
Abstract:
Hematoxylin and eosin staining is one of the most well-known and common methods of staining histopathological samples. Its main purpose is to highlight the morphological features of tissues, which help doctors make the right diagnosis. However, it is not without its flaws, and the scans obtained in this way are characterized by high inconsistency not only resulting from the variability of the tissues themselves, but also due to the chemical reagents used, the technique of preparing the preparation, etc. This causes various difficulties and errors in the case of tissue assessment performed by the algorithm, but can also be a hindrance for doctors. Therefore, there are many methods to improve the quality of scans obtained from tissue stained in the H&E way. In this article, we present a fairly recent idea and very preliminary results for the use of our multi-channel virtual high-dynamic range MVHDR method to improve the parameters of H&E scans. Our method allows both data augmentation
for CNN, but also significant detail enhancement that helps doctors identify the disease.
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