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Automated classification of benign and malignant lesions in <sup>18</sup>F-NaF PET/CT images using machine learning

54

Citations

20

References

2018

Year

Abstract

We have developed the first whole-body automatic disease classification tool for NaF PET using RF, and demonstrated its ability to replicate different physicians' classification tendencies. This enables fully-automated analysis of whole-body NaF PET/CT images.

References

YearCitations

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