Deep-learning approach to automate the segmentation of aorta in non-contrast CTs-Reference-Cited by-同舟云学术

Deep-learning approach to automate the segmentation of aorta in non-contrast CTs

Published:2023-03-02 Issue:02 Volume:10 Page:
ISSN:2329-4302
Container-title:Journal of Medical Imaging
language:
Short-container-title:J. Med. Imag.

Author:

Ma Qixiang¹,Lucas Antoine¹,Hammami Houda¹,Shu Huazhong²,Kaladji Adrien¹,Haigron Pascal¹

Affiliation:

1. University of Rennes, Inserm, CHU Rennes, LTSI - UMR 1099, Rennes, France

2. Centre de Recherche en Information Biomédicale sino-français (CRIBs), Université de Rennes, Inserm, Rennes, France, and Southeast University, Nanjing, China

Publisher

SPIE-Intl Soc Optical Eng

Subject

Radiology, Nuclear Medicine and imaging

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1. Deep Supervision by Gaussian Pseudo-Label-Based Morphological Attention for Abdominal Aorta Segmentation in Non-Contrast CTS;2024 IEEE International Symposium on Biomedical Imaging (ISBI);2024-05-27

2. Deep Learning‐Based Analysis of Aortic Morphology From Three‐Dimensional MRI;Journal of Magnetic Resonance Imaging;2024-01-12