579 citations · 636 across the 3 of their papers we have counts for
9 papers · 1 filter
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…
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…
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…