@inproceedings{1a4590a442444326bd584e8d84005277,
title = "Multi-scale convolutional-stack aggregation for robust white matter hyperintensities segmentation",
abstract = "Segmentation of both large and small white matter hyperintensities/lesions in brain MR images is a challenging task which has drawn much attention in recent years. We propose a multi-scale aggregation model framework to deal with volume-varied lesions. Firstly, we present a specifically-designed network for small lesion segmentation called Stack-Net, in which multiple convolutional layers are {\textquoteleft}one-by-one{\textquoteright} connected, aiming to preserve rich local spatial information of small lesions before the sub-sampling layer. Secondly, we aggregate multi-scale Stack-Nets with different receptive fields to learn multi-scale contextual information of both large and small lesions. Our model is evaluated on recent MICCAI WMH Challenge Dataset and outperforms the state-of-the-art on lesion recall and lesion F1-score under 5-fold cross validation. It claimed the first place on the hidden test set after independent evaluation by the challenge organizer. In addition, we further test our pre-trained models on a Multiple Sclerosis lesion dataset with 30 subjects under cross-center evaluation. Results show that the aggregation model is effective in learning multi-scale spatial information.",
keywords = "Deep learning, White matter hyperintensities",
author = "Hongwei Li and Jianguo Zhang and Mark Muehlau and Jan Kirschke and Bjoern Menze",
note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2019.; 4th International MICCAI Brainlesion Workshop, BrainLes 2018 held in conjunction with the Medical Image Computing for Computer Assisted Intervention Conference, MICCAI 2018 ; Conference date: 16-09-2018 Through 20-09-2018",
year = "2019",
doi = "10.1007/978-3-030-11723-8_20",
language = "English",
isbn = "9783030117221",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "199--207",
editor = "Alessandro Crimi and Mauricio Reyes and Farahani Keyvan and Hugo Kuijf and {van Walsum}, Theo and Spyridon Bakas",
booktitle = "Brainlesion",
}