The auto segmentation for cardiac structures using a dual‐input deep learning network based on vision saliency and transformer-Reference-Cited by-同舟云学术

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The auto segmentation for cardiac structures using a dual‐input deep learning network based on vision saliency and transformer

Published:2022-04 Issue:5 Volume:23 Page:
ISSN:1526-9914
Container-title:Journal of Applied Clinical Medical Physics
language:en
Short-container-title:J Applied Clin Med Phys

Author:

Wang Jing¹,Wang Shuyu¹,Liang Wei²,Zhang Nan³,Zhang Yan⁴

Affiliation:

1. Department of Electric Information Engineering Shandong Youth University Of Political Science Jinan China

2. Department of Ecological Environment Statistics Ecological Environment Department of Shandong Jinan China

3. Department of Radiology Beijing Anzhen Hospital Capital Medical University Beijing China

4. Department of Radiology, Shandong Mental Health Center Shandong University Jinan China

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging,Instrumentation,Radiation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/acm2.13597

Reference46 articles.

1. Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?

2. Automated Cardiovascular Pathology Assessment Using Semantic Segmentation and Ensemble Learning

3. Prognostic value of CT-derived left atrial and left ventricular measures in patients with acute chest pain

4. Changes in left ventricular shape and morphology in the presence of heart failure: a four-dimensional quantitative and qualitative analysis

5. Diagnostic accuracy of CT for the detection of left ventricular myocardial fibrosis in various myocardial diseases

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1. Stenosis Detection and Quantification of Coronary Artery Using Machine Learning and Deep Learning;Angiology;2023-07-03

2. Is attention all you need in medical image analysis? A review.;IEEE Journal of Biomedical and Health Informatics;2023

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