Efficient Segmentation for Left Atrium With Convolution Neural Network Based on Active Learning in Late Gadolinium Enhancement Magnetic Resonance Imaging-Reference-Cited by-同舟云学术

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Efficient Segmentation for Left Atrium With Convolution Neural Network Based on Active Learning in Late Gadolinium Enhancement Magnetic Resonance Imaging

Published:2022 Issue:36 Volume:37 Page:
ISSN:1011-8934
Container-title:Journal of Korean Medical Science
language:en
Short-container-title:J Korean Med Sci

Author:

Cho Yongwon¹²^ORCID,Cho Hyungjoon¹^ORCID,Shim Jaemin³^ORCID,Choi Jong-Il³^ORCID,Kim Young-Hoon³^ORCID,Kim Namkug⁴^ORCID,Oh Yu-Whan¹^ORCID,Hwang Sung Ho¹^ORCID

Affiliation:

1. Department of Radiology, Korea University Anam Hospital, Seoul,Korea.

2. AI Center, Korea University Anam Hospital, Seoul,Korea.

3. Division of Cardiology, Department of Internal Medicine, Korea University Anam Hospital, Seoul,Korea.

4. Department of Convergence Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul,Korea.

Funder

National Research Foundation of Korea

Publisher

Korean Academy of Medical Sciences

Subject

General Medicine

Link

https://jkms.org/pdf/10.3346/jkms.2022.37.e271

Reference25 articles.

1. Deep Contextual Networks for Neuronal Structure Segmentation

2. Comparison of human and automatic segmentations of kidneys from CT images

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1. Artificial Intelligence in the Image-Guided Care of Atrial Fibrillation;Life;2023-09-05

2. Artificial Intelligence in Cardiovascular CT and MR Imaging;Life;2023-02-11

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