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Convolutional neural network based deep-learning architecture for intraprostatic tumour contouring on PSMA PET images in patients with primary prostate cancer
[article]
2020
arXiv
pre-print
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A single forward pass through the CNN took less than a second (approx. 3 µs) for all cohorts. For further information please see Table 2 . ...
arXiv:2008.03201v1
fatcat:3yi3dc6hxzabjmubwgeos4p6km
Intraprostatic Tumour Segmentation on PSMA-PET Images in Patients with Primary Prostate Cancer with a Convolutional Neural Network
2020
Journal of Nuclear Medicine
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A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
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A single forward pass through the CNN took less than a second (approx. 3 µs) for all cohorts. ...
doi:10.2967/jnumed.120.254623
pmid:33127624
pmcid:PMC8729869
fatcat:2z7tpibf7ffl5eb6vti3iu5fp4
Uncovering the invisible—prevalence, characteristics, and radiomics feature–based detection of visually undetectable intraprostatic tumor lesions in 68GaPSMA-11 PET images of patients with primary prostate cancer
2020
European Journal of Nuclear Medicine and Molecular Imaging
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) ...
doi:10.1007/s00259-020-05111-3
pmid:33210239
pmcid:PMC8113179
fatcat:o6lkyxw6iza2tltyxt4ya2w4iu