Аннотация:The use of modern approaches based on convolutional neural networks (CNNs) for segmentation of whole slide images (WSIs) helps pathologists obtain more stable and quantitative analysis results and improve diagnosis objectivity. But working with WSIs is extremely difficult due to their resolution, size and the presence of a large number of incompatible image storage formats from equipment manufacturers. In addition, the use of modern CNN-based image analysis methods is complicated by the need to use a set of tools with a low level of internal integration.