Clinical performance of deep learning-enhanced ultrafast whole-body scintigraphy in patients with suspected malignancy

Ultrafast 2x speed (real and simulated) images achieved comparable diagnostic value to that of standardly acquired images, but the simulation algorithm does not necessarily reflect real data.

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Publication Details

Journal
BMC Medical Imaging
Published
2024-09-09
DOI
https://doi.org/10.1186/s12880-024-01422-1
Citations
2
Primary Topic
Medical Imaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.81
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article

Clinical performance of deep learning-enhanced ultrafast whole-body scintigraphy in patients with suspected malignancy

Jie Ding, Nan‐Jie Gong, Jun Zhao, Boyang Pan et al.
2 citations
BMC Medical Imaging
Medical Imaging Techniques and Applications
0.81
article

Clinical performance of deep learning-enhanced ultrafast whole-body scintigraphy in patients with suspected malignancy

Jie Ding, Nan‐Jie Gong, Jun Zhao, Boyang Pan, Qingyuan Meng, Na Qi, Yihong Yang, Zengbei Yuan
article en
2 citations

Abstract

Ultrafast 2x speed (real and simulated) images achieved comparable diagnostic value to that of standardly acquired images, but the simulation algorithm does not necessarily reflect real data.

BMC Medical ImagingVol. 24(1)
Shanghai East Hospital (CN), Tsinghua University (CN)
Quality Education
Openalex Percentile: Top 26%
Medical Imaging Techniques and Applications
0.81
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