Search

Your search keyword '"Lin, Guisen"' showing total 28 results
Start Over Author "Lin, Guisen"
28 results on '"Lin, Guisen"'

2. ImageCAS: A Large-Scale Dataset and Benchmark for Coronary Artery Segmentation based on Computed Tomography Angiography Images

Author

Zeng, An, Wu, Chunbiao, Huang, Meiping, Zhuang, Jian, Bi, Shanshan, Pan, Dan, Ullah, Najeeb, Khan, Kaleem Nawaz, Wang, Tianchen, Shi, Yiyu, Li, Xiaomeng, Lin, Guisen, and Xu, Xiaowei

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Machine Learning
Abstract

Cardiovascular disease (CVD) accounts for about half of non-communicable diseases. Vessel stenosis in the coronary artery is considered to be the major risk of CVD. Computed tomography angiography (CTA) is one of the widely used noninvasive imaging modalities in coronary artery diagnosis due to its superior image resolution. Clinically, segmentation of coronary arteries is essential for the diagnosis and quantification of coronary artery disease. Recently, a variety of works have been proposed to address this problem. However, on one hand, most works rely on in-house datasets, and only a few works published their datasets to the public which only contain tens of images. On the other hand, their source code have not been published, and most follow-up works have not made comparison with existing works, which makes it difficult to judge the effectiveness of the methods and hinders the further exploration of this challenging yet critical problem in the community. In this paper, we propose a large-scale dataset for coronary artery segmentation on CTA images. In addition, we have implemented a benchmark in which we have tried our best to implement several typical existing methods. Furthermore, we propose a strong baseline method which combines multi-scale patch fusion and two-stage processing to extract the details of vessels. Comprehensive experiments show that the proposed method achieves better performance than existing works on the proposed large-scale dataset. The benchmark and the dataset are published at https://github.com/XiaoweiXu/ImageCAS-A-Large-Scale-Dataset-and-Benchmark-for-Coronary-Artery-Segmentation-based-on-CT., Comment: 17 pages, 12 figures, 4 tables

Published
2022

15. Magnetic Resonance Imaging Guided Prostate Biopsy in Patients with ≥ One Negative Systematic Transrectal Ultrasound-Guided Biopsy: A Systemic Review and Meta-Analysis

Author

Lan, Hailong, Zhou, Yanling, Lin, Guisen, Zhao, Hua, and Wu, Guantu

Abstract

The present study aimed to compare prostate cancer (PCa) and clinically significant PCa (csPCa) detection sensitivity between magnetic resonance imaging guided-biopsy (MRI-GB) and transrectal ultrasound-guided biopsy (TRUS-GB) in patients with ≥ 1 negative TRUS-GB, and to explore the additive value of TRUS-GB to MRI-GB. The meta-analysis of 18 studies demonstrated that MRI-GB had a similar sensitivity for PCa detection but a higher sensitivity for csPCa than TRUS-GB. In conclusion, there was limited value in combining TRUS-GB with MRI-GB compared with MRI-GB alone for csPCa detection in patients with one or more negative TRUS-GBs that were suspicious of having PCa.

Published
2022
Full Text
View/download PDF

25. Brain Amide Proton Transfer Imaging of Rat With Alzheimer’s Disease Using Saturation With Frequency Alternating RF Irradiation Method

Author

Wang, Runrun, primary, Chen, Peidong, additional, Shen, Zhiwei, additional, Lin, Guisen, additional, Xiao, Gang, additional, Dai, Zhuozhi, additional, Zhang, Bingna, additional, Chen, Yuanfeng, additional, Lai, Lihua, additional, Zong, Xiaodan, additional, Li, Yan, additional, Tang, Yanyan, additional, and Wu, Renhua, additional

Published
2019
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results