CoRSAI: A System for Robust Interpretation of CT Scans of COVID-19 Patients Using Deep Learning

no code implementations • 25 May 2021 • Manvel Avetisian, Ilya Burenko, Konstantin Egorov, Vladimir Kokh, Aleksandr Nesterov, Aleksandr Nikolaev, Alexander Ponomarchuk, Elena Sokolova, Alex Tuzhilin, Dmitry Umerenkov

Analysis of chest CT scans can be used in detecting parts of lungs that are affected by infectious diseases such as COVID-19. Determining the volume of lungs affected by lesions is essential for formulating treatment recommendations and prioritizingpatients by severity of the disease.

Segmentation

Radiologist-level stroke classification on non-contrast CT scans with Deep U-Net

no code implementations • 31 Mar 2020 • Manvel Avetisian, Vladimir Kokh, Alex Tuzhilin, Dmitry Umerenkov

Segmentation of ischemic stroke and intracranial hemorrhage on computed tomography is essential for investigation and treatment of stroke.

General Classification Stroke Classification