Application of Convolutional Neural Network in Segmenting Brain Regions from MRI Data-Reference-Cited by-同舟云学术

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Application of Convolutional Neural Network in Segmenting Brain Regions from MRI Data

Published:2019 Issue: Volume: Page:136-146
ISSN:0302-9743
Container-title:Brain Informatics
language:
Short-container-title:

Author:

Ali Hafsa Moontari,Kaiser M. Shamim^ORCID,Mahmud Mufti^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-37078-7_14

Reference48 articles.

1. Bao, S., Chung, A.C.: Multi-scale structured CNN with label consistency for brain MRI segmentation. Comput. Methods Biomech. Biomed. Eng. Imaging Vis. 6(1), 113–117 (2018)

2. Lecture Notes in Computer Science;A Birenbaum,2016

3. de Brebisson, A., Montana, G.: Deep neural networks for anatomical brain segmentation. In: Proceedings of IEEE CVPR, pp. 20–28 (2015)

4. Brosch, T., et al.: Deep 3D convolutional encoder networks with shortcuts for multiscale feature integration applied to multiple sclerosis lesion segmentation. IEEE Trans. Med. Imaging 35(5), 1229–1239 (2016)

5. Choi, H., Jin, K.H.: Fast and robust segmentation of the striatum using deep convolutional neural networks. J. Neurosci. Methods 274, 146–153 (2016)

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