no code implementations • 21 Aug 2021 • Boris Shirokikh, Alexandra Dalechina, Alexey Shevtsov, Egor Krivov, Valery Kostjuchenko, Amayak Durgaryan, Mikhail Galkin, Andrey Golanov, Mikhail Belyaev
We show that the segmentation model reduces the ratio of detection disagreements from 0. 162 to 0. 085 (p < 0. 05).
1 code implementation • 20 Jul 2020 • Boris Shirokikh, Alexey Shevtsov, Anvar Kurmukov, Alexandra Dalechina, Egor Krivov, Valery Kostjuchenko, Andrey Golanov, Mikhail Belyaev
We propose a loss reweighting approach to increase the ability of the network to detect small lesions.
no code implementations • 6 Sep 2019 • Boris Shirokikh, Alexandra Dalechina, Alexey Shevtsov, Egor Krivov, Valery Kostjuchenko, Amayak Durgaryan, Mikhail Galkin, Ivan Osinov, Andrey Golanov, Mikhail Belyaev
Stereotactic radiosurgery is a minimally-invasive treatment option for a large number of patients with intracranial tumors.
no code implementations • 22 Oct 2018 • Maxim Pisov, Gleb Makarchuk, Valery Kostjuchenko, Alexandra Dalechina, Andrey Golanov, Mikhail Belyaev
Classification-based image retrieval systems are built by training convolutional neural networks (CNNs) on a relevant classification problem and using the distance in the resulting feature space as a similarity metric.
no code implementations • 1 Aug 2018 • Egor Krivov, Valery Kostjuchenko, Alexandra Dalechina, Boris Shirokikh, Gleb karchuk, Alexander Denisenko, Andrey Golanov, Mikhail Belyaev
In our work, we consider segmentation of brain tumors appropriate to stereotactic radiosurgery which limits typical lesion sizes.