579 citations · 636 across the 2 of their papers we have counts for
10 papers
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…
2017 Robotic Instrument Segmentation Challenge
Max Allan, Alex Shvets, Thomas Kurmann +16
In mainstream computer vision and machine learning, public datasets such as ImageNet, COCO and KITTI have helped drive enormous improvements by enabling researchers to understand t…
Deep Learning Approaches for Understanding Simple Speech Commands
Roman A. Solovyev, Maxim Vakhrushev, Alexander Radionov +2
Automatic classification of sound commands is becoming increasingly important, especially for mobile and embedded devices. Many of these devices contain both cameras and microphone…
Fully Convolutional Network for Automatic Road Extraction from Satellite Imagery
Alexander V. Buslaev, Selim S. Seferbekov, Vladimir I. Iglovikov +1
Analysis of high-resolution satellite images has been an important research topic for traffic management, city planning, and road monitoring. One of the problems here is automatic…
Feature Pyramid Network for Multi-Class Land Segmentation
Selim S. Seferbekov, Vladimir I. Iglovikov, Alexander V. Buslaev +1
Semantic segmentation is in-demand in satellite imagery processing. Because of the complex environment, automatic categorization and segmentation of land cover is a challenging pro…
TernausNetV2: Fully Convolutional Network for Instance Segmentation
Vladimir I. Iglovikov, Selim Seferbekov, Alexander V. Buslaev +1
The most common approaches to instance segmentation are complex and use two-stage networks with object proposals, conditional random-fields, template matching or recurrent neural n…