Deep Learning from Label Proportions for Emphysema Quantification-Reference-Cited by-同舟云学术

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Deep Learning from Label Proportions for Emphysema Quantification

Published:2018 Issue: Volume: Page:768-776
ISSN:0302-9743
Container-title:Medical Image Computing and Computer Assisted Intervention – MICCAI 2018
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Author:

Bortsova Gerda,Dubost Florian,Ørting Silas,Katramados Ioannis,Hogeweg Laurens,Thomsen Laura,Wille Mathilde,de Bruijne Marleen

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-00934-2_85

Reference12 articles.

1. Bos, D., et al.: Intracranial carotid artery atherosclerosis and the risk of stroke in whites: the Rotterdam study. JAMA Neurol. 71(4), 405–411 (2014)

2. De Jong, P.A., Tiddens, H.A.: Cystic fibrosis-specific computed tomography scoring. Proc. Am. Thorac. Soc. 4(4), 338–342 (2007)

3. Dery, L.M., Nachman, B., Rubbo, F., Schwartzman, A.: Weakly supervised classification in high energy physics. JHEP 2017(5), 145 (2017)

4. Lecture Notes in Computer Science;F Dubost,2017

5. He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: CVPR 2016, pp. 770–778. IEEE (2016)

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