Fine-Grain Segmentation of the Intervertebral Discs from MR Spine Images Using Deep Convolutional Neural Networks: BSU-Net

Fine-Grain Segmentation of the Intervertebral Discs from MR Spine Images Using Deep Convolutional Neural Networks: BSU-Net

We propose a new deep learning network capable of successfully segmenting intervertebral discs and their complex boundaries from magnetic resonance (MR) spine images. The existing U-network (U-net) is known to perform well in various segmentation tasks in medical images; however, its performance wit...

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Bibliographic Details
Main Authors: Sewon Kim, Won C. Bae, Koichi Masuda, Christine B. Chung, Dosik Hwang
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Applied Sciences
Subjects:
intervertebral disc
segmentation
convolutional neural network
fine grain segmentation
U-net
deep learning
magnetic resonance image
lumbar spine
Online Access:http://www.mdpi.com/2076-3417/8/9/1656

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