Neuroimaging of intracranial neoplasms: volume segmentation of 3D images

Abstract

The progressive development of medical bioinformatics, namely computer vision and deep learning technologies, will allow accurate screening of neurooncological diseases and evaluate the effectiveness of the treatment methods performed in dynamics at all levels of healthcare institutions. At present, the Matlab platform is the most functional environment for image processing with the implemented possibility of using semantic segmentation. An algorithm for creating masks of the area of interest of specialists and a listing for training a neural network in the diagnostic screening of neurooncological patients are presented.