Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation-Reference-Cited by-同舟云学术

Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation

Published:2018 Issue: Volume: Page:450-462
ISSN:0302-9743
Container-title:Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries
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Author:

Kamnitsas K.^ORCID,Bai W.,Ferrante E.,McDonagh S.,Sinclair M.,Pawlowski N.,Rajchl M.,Lee M.,Kainz B.,Rueckert D.,Glocker B.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-75238-9_38

Reference31 articles.

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3. Louis, D., et al.: The 2016 world health organization classification of tumors of the central nervous system: a summary. Acta Neuropathol. 131(6), 803–820 (2016)

4. Menze, B.H., Jakab, A., Bauer, S., Kalpathy-Cramer, J., Farahani, K., Kirby, J., Burren, Y., Porz, N., Slotboom, J., Wiest, R., et al.: The multimodal brain tumor image segmentation benchmark (BRATS). IEEE TMI 34(10), 1993–2024 (2015)

5. Prastawa, M., Bullitt, E., Ho, S., Gerig, G.: A brain tumor segmentation framework based on outlier detection. Med. Image Anal. 8(3), 275–283 (2004)

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