Lesion segmentation on 18F-fluciclovine PET/CT images using deep learning

Lesion segmentation on 18F-fluciclovine PET/CT images using deep learning

Background and purposeA novel radiotracer, 18F-fluciclovine (anti-3-18F-FACBC), has been demonstrated to be associated with significantly improved survival when it is used in PET/CT imaging to guide postprostatectomy salvage radiotherapy for prostate cancer. We aimed to investigate the feasibility o...

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Bibliographic Details
Main Authors: Tonghe Wang, Yang Lei, Eduard Schreibmann, Justin Roper, Tian Liu, David M. Schuster, Ashesh B. Jani, Xiaofeng Yang
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-12-01
Series:Frontiers in Oncology
Subjects:
segmentation
PET/CT
neural network
prostate radiotherapy
deep learning
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2023.1274803/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2023.1274803/full

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