Incorporating Task-Specific Structural Knowledge into CNNs for Brain Midline Shift Detection-Reference-Cited by-同舟云学术

Incorporating Task-Specific Structural Knowledge into CNNs for Brain Midline Shift Detection

Published:2019 Issue: Volume: Page:30-38
ISSN:0302-9743
Container-title:Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support
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Author:

Pisov Maxim,Goncharov Mikhail,Kurochkina Nadezhda,Morozov Sergey,Gombolevskiy Victor,Chernina Valeria,Vladzymyrskyy Anton,Zamyatina Ksenia,Chesnokova Anna,Pronin Igor,Shifrin Michael,Belyaev Mikhail

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-33850-3_4

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4. He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 770–778 (2016)

5. Jacobs, B., Beems, T., van der Vliet, T.M., Diaz-Arrastia, R.R., Borm, G.F., Vos, P.E.: Computed tomography and outcome in moderate and severe traumatic brain injury: hematoma volume and midline shift revisited. J. Neurotrauma 28(2), 203–215 (2011)

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