activity
20182020
collaborators

7 papers

eess.IV2020

Deep Learning for Automatic Pneumonia Detection

Tatiana Gabruseva, Dmytro Poplavskiy, Alexandr A. Kalinin

Pneumonia is the leading cause of death among young children and one of the top mortality causes worldwide. The pneumonia detection is usually performed through examine of chest X-…

eess.IV2019

Breast Tumor Cellularity Assessment using Deep Neural Networks

Alexander Rakhlin, Aleksei Tiulpin, Alexey A. Shvets +3

Breast cancer is one of the main causes of death worldwide. Histopathological cellularity assessment of residual tumors in post-surgical tissues is used to analyze a tumor's respon…

cs.CV2018

Albumentations: fast and flexible image augmentations

Alexander Buslaev, Alex Parinov, Eugene Khvedchenya +2

Data augmentation is a commonly used technique for increasing both the size and the diversity of labeled training sets by leveraging input transformations that preserve output labe…

cs.CV2018

Fixed-Point Convolutional Neural Network for Real-Time Video Processing in FPGA

Roman Solovyev, Alexander Kustov, Dmitry Telpukhov +2

Modern mobile neural networks with a reduced number of weights and parameters do a good job with image classification tasks, but even they may be too complex to be implemented in a…

cs.CV2018

Angiodysplasia Detection and Localization Using Deep Convolutional Neural Networks

Alexey Shvets, Vladimir Iglovikov, Alexander Rakhlin +1

Accurate detection and localization for angiodysplasia lesions is an important problem in early stage diagnostics of gastrointestinal bleeding and anemia. Gold-standard for angiody…

cs.CV2018

Deep Convolutional Neural Networks for Breast Cancer Histology Image Analysis

Alexander Rakhlin, Alexey Shvets, Vladimir Iglovikov +1

Breast cancer is one of the main causes of cancer death worldwide. Early diagnostics significantly increases the chances of correct treatment and survival, but this process is tedi…