INVESTIGATION OF THE IMPACT OF DATA AUGMENTATION METHODS AND NOISE ON THE ACCURACY OF NUCLEI SEGMENTATION IN HISTOLOGICAL IMAGES USING A DEEP NEURAL NETWORK
Abstract. Segmentation of medical images is one of the key tasks of biomedical informatics, especially in the context of cancer diagnosis. The task of precise segmentation of cell nuclei is particularly relevant and necessary to identify morphological changes in tissues. However, the main challenges and problems in this area remain the variability of image quality, […]
