ARTIFICIAL INTELLIGENCE TECHNOLOGIES FOR MORPHOLOGY: OPPORTUNITIES AND PROSPECTS

Abstract

In this work, a program was developed based on U-Net and VGG neural network architectures for segmentation and analysis of scan images of kidney and colon tissues. The program maps up to 12 classes of anatomical structures in tissues, and also allows the calculation of predictive histological biomarkers to support physician decision-making.