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Erschienen in:
Dice Overlap Measures for Objects of Unknown Number: Application to Lesion Segmentation Kapitel lesen Erstes Kapitel lesen

2018 | OriginalPaper | Buchkapitel

White Matter Hyperintensities Segmentation in a Few Seconds Using Fully Convolutional Network and Transfer Learning

verfasst von : Yongchao Xu, Thierry Géraud, Élodie Puybareau, Isabelle Bloch, Joseph Chazalon

Erschienen in: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries

Verlag: Springer International Publishing

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Abstract

In this paper, we propose a fast automatic method that segments white matter hyperintensities (WMH) in 3D brain MR images, using a fully convolutional network (FCN) and transfer learning. This FCN is the Visual Geometry Group neural network (VGG for short) pre-trained on ImageNet for natural image classification, and fine tuned with the training dataset of the MICCAI WMH Challenge. We consider three images for each slice of the volume to segment: the T1 slice, the FLAIR slice, and the result of a morphological operator that emphasizes small bright structures. These three 2D images are assembled to form a 2D color image, that inputs the FCN to obtain the 2D segmentation of the corresponding slice. We process all slices, and stack the results to form the 3D output segmentation. With such a technique, the segmentation of WMH on a 3D brain volume takes about 10 s including pre-processing. Our technique was ranked 6-th over 20 participants at the MICCAI WMH Challenge.

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Vorheriges Kapitel WMH Segmentation Challenge: A Texture-Based Classification Approach
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Metadaten
Titel
White Matter Hyperintensities Segmentation in a Few Seconds Using Fully Convolutional Network and Transfer Learning
verfasst von
Yongchao Xu
Thierry Géraud
Élodie Puybareau
Isabelle Bloch
Joseph Chazalon
Copyright-Jahr
2018
Buch
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries

Print ISBN: 978-3-319-75237-2

Electronic ISBN: 978-3-319-75238-9

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-3-319-75238-9_42