Exploit 18F-FDG enhanced urinary bladder in PET data for deep learning ground truth generation in CT scans

Christina Gsaxner, Birgit Pfarrkirchner, Lydia Lindner, Norbert Jakse, Jürgen Wallner, Dieter Schmalstieg, Jan Egger

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Original languageEnglish
Title of host publicationMedical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging
PublisherSPIE Press, SPIE - The International Society for Optical Engineering
Publication statusPublished - 12 Mar 2018

Cite this

Gsaxner, C., Pfarrkirchner, B., Lindner, L., Jakse, N., Wallner, J., Schmalstieg, D., & Egger, J. (2018). Exploit 18F-FDG enhanced urinary bladder in PET data for deep learning ground truth generation in CT scans. In Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging SPIE Press, SPIE - The International Society for Optical Engineering.