V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

International Conference on 3D Vision
Pages: 565 - 571
Published: Jun 15, 2016
Abstract
Convolutional Neural Networks (CNNs) have been recently employed to solve problems from both the computer vision and medical image analysis fields. Despite their popularity, most approaches are only able to process 2D images while most medical data used in clinical practice consists of 3D volumes. In this work we propose an approach to 3D image segmentation based on a volumetric, fully convolutional, neural network. Our CNN is trained end-to-end...
Paper Details
Title
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
Published Date
Jun 15, 2016
Journal
Pages
565 - 571
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