2.3k citations · 5.9k across the 11 of their papers we have counts for
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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…
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…
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…
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…
Automatic Instrument Segmentation in Robot-Assisted Surgery Using Deep Learning
Alexey Shvets, Alexander Rakhlin, Alexandr A. Kalinin +1
Semantic segmentation of robotic instruments is an important problem for the robot-assisted surgery. One of the main challenges is to correctly detect an instrument's position for…
Deep Learning in Pharmacogenomics: From Gene Regulation to Patient Stratification
Alexandr A. Kalinin, Gerald A. Higgins, Narathip Reamaroon +5
This Perspective provides examples of current and future applications of deep learning in pharmacogenomics, including: (1) identification of novel regulatory variants located in no…