A nested parallel multiscale convolution for cerebrovascular segmentation-Reference-Cited by-同舟云学术

A nested parallel multiscale convolution for cerebrovascular segmentation

Published:2021-10-31 Issue:12 Volume:48 Page:7971-7983
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Medical Physics

Author:

Xia Likun¹²³⁴,Xie Yixuan¹⁵³,Wang Qiwang¹,Zhang Hao¹⁵³,He Cheng¹³,Yang Xiaonan¹³,Lin Jinghui⁶,Song Ran⁷,Liu Jiang⁸,Zhao Yitian⁵

Affiliation:

1. College of Information Engineering Capital Normal University Beijing China

2. International Science and Technology Cooperation Base of Electronic System Reliability and Mathematical Interdisciplinary Capital Normal University Beijing China

3. Laboratory of Neural Computing and Intelligent Perception Capital Normal University Beijing China

4. Beijing Advanced Innovation Center for Imaging Theory and Technology Capital Normal University Beijing China

5. Cixi Institute of Biomedical Engineering Ningbo Institute of Materials Technology and Engineering Chinese Academy of Sciences Ningbo China

6. Department of Neurosurgery Ningbo First Hospital Ningbo China

7. School of Control Science and Engineering Shandong University Jinan China

8. Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen China

Funder

Natural Science Foundation of Beijing Municipality

National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province

Youth Innovation Promotion Association of the Chinese Academy of Sciences

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.15280

Reference49 articles.

1. Digital Subtraction Angiography Imaging Characteristics of Patients with Extra–Intracranial Atherosclerosis and Its Relationship to Stroke

2. Comparison of Rates of Growth between Unruptured and Ruptured Aneurysms Using Magnetic Resonance Angiography

3. The Safety of Dedicated-Team Catheter-Based Diagnostic Cerebral Angiography in the Era of Advanced Noninvasive Imaging

4. A Review on Segmentation and Modeling of Cerebral Vasculature for Surgical Planning

5. Statistical cerebrovascular segmentation in three-dimensional rotational angiography based on maximum intensity projections

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