SEGMENTATION OF HUMAN TISSUES IN COMPUTER IMAGE Russian patent published in 2018 - IPC G06T7/00 G06K9/00 

FIELD: medicine.

SUBSTANCE: invention relates to processing of medical images. According to the method of segmentation of medical images, the input volumetric medical images are led to a single sampling step and to a single scale. Image thus prepared is processed by a first convolutional neural network (CNN) to obtain a map of the probabilities of detecting tissues and isolating the region of interest on the base thereof. Next second CNN processes the data set within the allocated area of interest (ROI) on medical images to obtain a multi-class segmentation probability map. Then by means of a local classifier, the obtained probability map of multi-class segmentation is processed within the ROI and a preliminary map of multi-class segmentation is obtained. In future this preliminary segmentation map is post-processed to obtain the final segmentation map.

EFFECT: increase speed and quality of segmentation of human tissues/organs and/or detect tumors on medical images.

9 cl, 4 dwg