Comparative study of the quantitative accuracy of oncological PET imaging based on deep learning methods-Reference-Cited by-同舟云学术

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Comparative study of the quantitative accuracy of oncological PET imaging based on deep learning methods

Published:2023-06 Issue:6 Volume:13 Page:3760-3775
ISSN:2223-4292
Container-title:Quantitative Imaging in Medicine and Surgery
language:
Short-container-title:Quant Imaging Med Surg

Author:

Hu Yiyi,Lv Doudou,Jian Shaojie,Lang Limin,Cui Caozhe,Liang Meng,Song Liwei,Li Sijin,Wu Zhifang

Publisher

AME Publishing Company

Subject

Radiology, Nuclear Medicine and imaging

Link

https://qims.amegroups.com/article/download/112753/pdf

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep learning-based techniques for estimating high-quality full-dose positron emission tomography images from low-dose scans: a systematic review;BMC Medical Imaging;2024-09-11

2. Deep learning image reconstruction technique based on sinogram with 99m Tc-3PRGD2 chest SPECT;2024-03-27

3. Deep learning-based PET image denoising and reconstruction: a review;Radiological Physics and Technology;2024-02-06

4. Investigation of PET image quality with acquisition time/bed and enhancement of lesion quantification accuracy through deep progressive learning;EJNMMI Physics;2024-01-10

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