Optimized High Resolution 3D Dense-U-Net Network for Brain and Spine Segmentation

Optimized High Resolution 3D Dense-U-Net Network for Brain and Spine Segmentation

The 3D image segmentation is the process of partitioning a digital 3D volumes into multiple segments. This paper presents a fully automatic method for high resolution 3D volumetric segmentation of medical image data using modern supervised deep learning approach. We introduce 3D Dense-U-Net neural n...

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Bibliographic Details
Main Authors: Martin Kolařík, Radim Burget, Václav Uher, Kamil Říha, Malay Kishore Dutta
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Applied Sciences
Subjects:
3D segmentation
brain
deep learning
neural network
open-source
semantic segmentation
spine
u-net
Online Access:https://www.mdpi.com/2076-3417/9/3/404

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