“Global” cardiac atherosclerotic burden assessed by artificial intelligence-based versus manual segmentation in 18F-sodium fluoride PET/CT scans: Head-to-head comparison-Reference-Cited by-同舟云学术

“Global” cardiac atherosclerotic burden assessed by artificial intelligence-based versus manual segmentation in 18F-sodium fluoride PET/CT scans: Head-to-head comparison

Published:2021-08-12 Issue: Volume: Page:
ISSN:1071-3581
Container-title:Journal of Nuclear Cardiology
language:en
Short-container-title:J. Nucl. Cardiol.

Author:

Piri Reza^ORCID,Edenbrandt Lars,Larsson Måns,Enqvist Olof,Skovrup Sofie,Iversen Kasper Karmark,Saboury Babak,Alavi Abass,Gerke Oke,Høilund-Carlsen Poul Flemming

Publisher

Springer Science and Business Media LLC

Subject

Cardiology and Cardiovascular Medicine,Radiology Nuclear Medicine and imaging

Link

https://link.springer.com/content/pdf/10.1007/s12350-021-02758-9.pdf

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3. Tarkin JM, Dweck MR, Evans NR, Takx RA, Brown AJ, Tawakol A, et al. Imaging atherosclerosis. Circ Res 2016;118:750-69.

4. McKenney-Drake ML, Moghbel MC, Paydary K, Alloosh M, Houshmand S, Moe S, et al. 18 F-NaF and 18 F-FDG as molecular probes in the evaluation of atherosclerosis. Eur J Nucl Med Mol Imaging 2018;45:2190-2200.

5. Belal SL, Sadik M, Kaboteh R, Enqvist O, Ulén J, Poulsen MH, et al. Deep learning for segmentation of 49 selected bones in CT scans: First step in automated PET/CT-based 3D quantification of skeletal metastases. Eur J Radiol 2019;113:89-95.

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