Automatic segmentation and determining radiodensity of the liver in a large-scale CT database

no code implementations • 31 Dec 2019 • N. S. Kulberg, A. B. Elizarov, V. P. Novik, V. A. Gombolevsky, A. P. Gonchar, A. L. Alliua, V. Yu. Bosin, A. V. Vladzymyrsky, S. P. Morozov

This study proposes an automatic technique for liver segmentation in computed tomography (CT) images.

Computed Tomography (CT) Liver Segmentation

Clinical acceptance of software based on artificial intelligence technologies (radiology)

no code implementations • 1 Aug 2019 • S. P. Morozov, A. V. Vladzymyrskyy, V. G. Klyashtornyy, A. E. Andreychenko, N. S. Kulberg, V. A. Gombolevsky, K. A. Sergunova

Aim: provide a methodological framework for the process of clinical tests, clinical acceptance, and scientific assessment of algorithms and software based on the artificial intelligence (AI) technologies.