Cells Recognition of the Sensomotor Cortex on Histological Images

The paper presents an approach to solving the problem of recognizing brain cells in photographic images of histological samples. The following stages are described: data labeling for dataset preparation, semantic segmentation, classification of the desired objects. The task of cell recognition is formulated as a task of segmenting objects in an image with their subsequent classification. Machine learning methods are applied. The results of the work demonstrate the applicability of machine learning methods to the task of recognizing brain cells in histological images.