research-article

An Aneurysm Localization Algorithm Based on Faster R-CNN Network for Cerebral Small Vessels

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Xiangyu ChenAuthors Info & Claims

ICCPR '22: Proceedings of the 2022 11th International Conference on Computing and Pattern Recognition

Pages 559 - 564

https://doi.org/10.1145/3581807.3581889

Published: 22 May 2023 Publication History

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Abstract

The use of artificial intelligence algorithm to determine whether the lesion has cerebral aneurysm, especially small aneurysms, is still not completely solved. In this paper, the Faster R-CNN network was used as the localization network, and the model was trained by adjusting the network parameters, and the appropriate feature extraction network and classification network were selected to finally solve the localization problem of small aneurysms. Compared with most 3D methods, this method had the characteristics of shorter training cycle and faster image recognition. The experimental results show that the algorithm has a high accuracy in discriminating whether the lesion has cerebral aneurysm, but the false positive phenomenon may occur in the identification of single image localization. Finally, the paper discusses the experimental results and puts forward some conjecture ideas to solve the problem.

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Cited By

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Zhang JYang MLiu Y(2023)The Study of Cerebral Blood Arteries in Three Dimensions Using an Optimization Technique Based on Relative Position Data2023 International Conference on Industrial IoT, Big Data and Supply Chain (IIoTBDSC)10.1109/IIoTBDSC60298.2023.00038(168-172)Online publication date: 22-Sep-2023
https://doi.org/10.1109/IIoTBDSC60298.2023.00038

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ICCPR '22: Proceedings of the 2022 11th International Conference on Computing and Pattern Recognition

November 2022

683 pages

ISBN:9781450397056

DOI:10.1145/3581807

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

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Published: 22 May 2023

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ICCPR 2022: 2022 11th International Conference on Computing and Pattern Recognition

November 17 - 19, 2022

Beijing, China

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Zhang JYang MLiu Y(2023)The Study of Cerebral Blood Arteries in Three Dimensions Using an Optimization Technique Based on Relative Position Data2023 International Conference on Industrial IoT, Big Data and Supply Chain (IIoTBDSC)10.1109/IIoTBDSC60298.2023.00038(168-172)Online publication date: 22-Sep-2023
https://doi.org/10.1109/IIoTBDSC60298.2023.00038

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Fovea Localization in Fundus Photographs by Faster R-CNN with Physiological Prior

Hemodynamic analysis of cerebral aneurysm and stenosed carotid bifurcation using computational fluid dynamics technique

Cerebral aneurysm image segmentation based on multi-modal convolutional neural network

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