@inproceedings{d722c932aa5e46f1a4cc8f2a9837c34a,
title = "Local structure prediction with convolutional neural networks for multimodal brain tumor segmentation",
abstract = "Most medical images feature a high similarity in the intensities of nearby pixels and a strong correlation of intensity profiles across different image modalities. One way of dealing with – and even exploiting – this correlation is the use of local image patches. In the same way, there is a high correlation between nearby labels in image annotation, a feature that has been used in the “local structure prediction” of local label patches. In the present study we test this local structure prediction approach for 3D segmentation tasks, systematically evaluating different parameters that are relevant for the dense annotation of anatomical structures. We choose convolutional neural network as learning algorithm, as it is known to be suited for dealing with correlation between features. We evaluate our approach on the public BRATS2014 data set with three multimodal segmentation tasks, being able to obtain state-of-the-art results for this brain tumor segmentation data set consisting of 254 multimodal volumes with computing time of only 13 s per volume.",
keywords = "Brain tumor, CNN, Clustering, Deep learning, Image segmentation, MRI, Patch, Structure, Structured prediction",
author = "Pavel Dvo{\v r}{\'a}k and Bjoern Menze",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; International Workshop on Medical Image Computing for Computer Assisted Intervention, 2015 MICCAI ; Conference date: 09-10-2015 Through 09-10-2015",
year = "2016",
doi = "10.1007/978-3-319-42016-5_6",
language = "English",
isbn = "9783319420158",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "59--71",
editor = "Michael Kelm and Henning M{\"u}ller and Bjoern Menze and Shaoting Zhang and Dimitris Metaxas and Georg Langs and Albert Montillo and Weidong Cai",
booktitle = "Medical Computer Vision",
}