TernausNetV2: Fully Convolutional Network for Instance Segmentation

3 code implementations • 3 Jun 2018 • Vladimir I. Iglovikov, Selim Seferbekov, Alexander V. Buslaev, Alexey Shvets

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 networks.

Instance Segmentation Segmentation +3

Angiodysplasia Detection and Localization Using Deep Convolutional Neural Networks

1 code implementation • 21 Apr 2018 • Alexey Shvets, Vladimir Iglovikov, Alexander Rakhlin, Alexandr A. Kalinin

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

Automatic Instrument Segmentation in Robot-Assisted Surgery Using Deep Learning

2 code implementations • 3 Mar 2018 • Alexey Shvets, Alexander Rakhlin, Alexandr A. Kalinin, Vladimir Iglovikov

Semantic segmentation of robotic instruments is an important problem for the robot-assisted surgery.

Pose Estimation Segmentation +1

Deep Convolutional Neural Networks for Breast Cancer Histology Image Analysis

3 code implementations • 2 Feb 2018 • Alexander Rakhlin, Alexey Shvets, Vladimir Iglovikov, Alexandr A. Kalinin

In this work, we develop the computational approach based on deep convolution neural networks for breast cancer histology image classification.

Breast Cancer Detection Classification +4

TernausNet: U-Net with VGG11 Encoder Pre-Trained on ImageNet for Image Segmentation

13 code implementations • 17 Jan 2018 • Vladimir Iglovikov, Alexey Shvets

Pixel-wise image segmentation is demanding task in computer vision.

Image Segmentation Segmentation +1

Pediatric Bone Age Assessment Using Deep Convolutional Neural Networks

no code implementations • 13 Dec 2017 • Vladimir Iglovikov, Alexander Rakhlin, Alexandr Kalinin, Alexey Shvets

Skeletal bone age assessment is a common clinical practice to diagnose endocrine and metabolic disorders in child development.