Towards accurate coronary artery calcium segmentation with multi‐scale attention mechanism-Reference-Cited by-同舟云学术

Towards accurate coronary artery calcium segmentation with multi‐scale attention mechanism

Published:2021-01-04 Issue:6 Volume:15 Page:1359-1370
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET image process

Author:

Ning Yang¹,Zhang Yunfeng²³,Li Xuemei¹,Zhang Caiming¹³⁴

Affiliation:

1. School of Software Shandong University Jinan China

2. School of Computer Science and Technology Shandong University of Finance and Economics Jinan China

3. Shandong Provincial Key Laboratory of Digital Media Technology Shandong University of Finance and Economics Jinan China

4. Shandong Co‐Innovation Center of Future Intelligent Computing Yantai China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/ipr2.12110

Reference36 articles.

1. National Center for Health Statistics. Health United States 2016 With Chartbook on Long‐Term Trends in Health. Number 2017. Government Printing Office USA (2017)

2. Automatic Calcium Scoring in Low-Dose Chest CT Using Deep Neural Networks With Dilated Convolutions

3. An end-to-end joint learning framework of artery-specific coronary calcium scoring in non-contrast cardiac CT

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