@inproceedings{2f3c349e1d5444af992630c2bcd30da0,
title = "Adversarial training and dilated convolutions for brain MRI segmentation",
abstract = "Convolutional neural networks (CNNs) have been applied to various automatic image segmentation tasks in medical image analysis, including brain MRI segmentation. Generative adversarial networks have recently gained popularity because of their power in generating images that are difficult to distinguish from real images. In this study we use an adversarial training approach to improve CNN-based brain MRI segmentation. To this end, we include an additional loss function that motivates the network to generate segmentations that are difficult to distinguish from manual segmentations. During training, this loss function is optimised together with the conventional average per-voxel cross entropy loss. The results show improved segmentation performance using this adversarial training procedure for segmentation of two different sets of images and using two different network architectures, both visually and in terms of Dice coefficients.",
keywords = "Adversarial networks, Brain MRI, Convolutional neural networks, Deep learning, Dilated convolution, Medical image segmentation",
author = "Pim Moeskops and Mitko Veta and Lafarge, {Maxime W.} and Eppenhof, {Koen A.J.} and Pluim, {Josien P.W.}",
year = "2017",
doi = "10.1007/978-3-319-67558-9_7",
language = "English",
isbn = "9783319675572",
volume = "10553 LNCS",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag",
pages = "56--64",
booktitle = "Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - 3rd International Workshop, DLMIA 2017 and 7th International Workshop, ML-CDS 2017 Held in Conjunction with MICCAI 2017, Proceedings",
address = "Germany",
note = "3rd International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2017 and 7th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2017 held in Conjunction with 20th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2017 ; Conference date: 14-09-2017 Through 14-09-2017",
}