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Volumetric Medical Image Segmentation with Deep Convolutional Neural Networks
| Author(s): | Manvel Avetisian, Ivan Shanin |
| Created: | 2017/12/05 |
| Published: | Data Analytics and Management in Data Intensive Domains: Collection of Scientific Papers of the XIX International Conference DAMDID / RCDL’2017. Moscow: FRC CSC RAS, ISBN 978–5–519–60516–8, P. 26-28, 2017. |
| Abstract: | |
| This paper presents a neural network architecture for segmentation of medical images. The
network trains from manually labeled images and can be used to segment various organs and anatomical
structures of interest. We propose an efficient reformulation of 3D convolutions and a loss function that
directly optimizes intersection-over-union metric popular in image segmentation field. |
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