DeepMedic for Brain Tumor Segmentation-Reference-Cited by-同舟云学术

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DeepMedic for Brain Tumor Segmentation

Published:2016 Issue: Volume: Page:138-149
ISSN:0302-9743
Container-title:Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries
language:
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Author:

Kamnitsas Konstantinos,Ferrante Enzo,Parisot Sarah,Ledig Christian,Nori Aditya V.,Criminisi Antonio,Rueckert Daniel,Glocker Ben

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-55524-9_14

Reference26 articles.

1. Kamnitsas, K., Ledig, C., Newcombe, V.F., Simpson, J.P., Kane, A.D., Menon, D.K., Rueckert, D., Glocker, B.: Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation. Med. Image Anal. 36, 61–78 (2016)

2. Mazzara, G.P., Velthuizen, R.P., Pearlman, J.L., Greenberg, H.M., Wagner, H.: Brain tumor target volume determination for radiation treatment planning through automated MRI segmentation. Int. J. Radiat. Oncol. Biol. Phys. 59(1), 300–312 (2004)

3. 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)

4. Lecture Notes in Computer Science;A Gooya,2011

5. Lecture Notes in Computer Science;S Parisot,2012

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