Automatic detection of intracranial aneurysm from digital subtraction angiography with cascade networks-Reference-Cited by-同舟云学术

Automatic detection of intracranial aneurysm from digital subtraction angiography with cascade networks

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2nd International Conference on Artificial Intelligence and Pattern Recognition - AIPR '19
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Author:

Liao Junhua¹,Duan Haihan¹,Dai Huming¹,Huang Yunzhi¹,Liu Lunxin²,Chen Liangyin¹,Zhou Liangxue²

Affiliation:

1. Sichuan University, Chengdu, China

2. Sichuan University

Funder

National Natural Science Foundation of China

Department of Science and Technology of Sichuan Province

Publisher

ACM Press

Reference23 articles.

1. Suarez, J. I., Tarr, R. W., and Selman, W. R. 2006. Aneurysmal subarachnoid hemorrhage. New England Journal of Medicine 354(4), 387 -- 396.

2. Hanaoka, S., Nomura, Y., Nemoto, M., Miki, S., Yoshikawa, T., Hayashi, N., Ohtomo, K., Masutani, Y., and Shimizu, A. 2015. Hotpig: A novel geometrical feature for vessel morphometry and its application to cerebral aneurysm detection. In: International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 103 -- 110.

3. Hentschke, C. M., Beuing, O., Paukisch, H., Scherlach, C., Skalej, M., and Tönnies, K. D. 2014. A system to detect cerebral aneurysms in multimodality angiographic data sets. Medical physics 41(9), 091904.

4. Adams, W. M., Laitt, R. D., and Jackson, A. 2000. The role of mr angiography in the pretreatment assessment of intracranial aneurysms: a comparative study. American Journal of Neuroradiology 21(9), 1618 -- 1628.

5. Abboud, T., Rustom, J., Bester, M., Czorlich, P., Vittorazzi, E., Pinnschmidt, H. O., Westphal, M., and Regelsberger, J. 2017. Morphology of ruptured and unruptured intracranial aneurysms. World neurosurgery 99, 610 -- 617.

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