Automatic lesion detection and segmentation of 18F-FET PET in gliomas: A full 3D U-Net convolutional neural network study

Title
Automatic lesion detection and segmentation of 18F-FET PET in gliomas: A full 3D U-Net convolutional neural network study
Authors
Keywords
Positron emission tomography, Convolution, Neural networks, Cancer detection and diagnosis, Cancer treatment, Glioma, Imaging techniques, Lesions
Journal
PLoS One
Volume 13, Issue 4, Pages e0195798
Publisher
Public Library of Science (PLoS)
Online
2018-04-14
DOI
10.1371/journal.pone.0195798

Ask authors/readers for more resources

Reprint

Contact the author

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started