A Fully Automated Post-Surgical Brain Tumor Segmentation Model for Radiation Treatment Planning and Longitudinal Tracking

A Fully Automated Post-Surgical Brain Tumor Segmentation Model for Radiation Treatment Planning and Longitudinal Tracking

Glioblastoma (GBM) has a poor survival rate even with aggressive surgery, concomitant radiation therapy (RT), and adjuvant chemotherapy. Standard-of-care RT involves irradiating a lower dose to the hyperintense lesion in T2-weighted fluid-attenuated inversion recovery MRI (T2w/FLAIR) and a higher do...

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Bibliographic Details
Main Authors: Karthik K. Ramesh, Karen M. Xu, Anuradha G. Trivedi, Vicki Huang, Vahid Khalilzad Sharghi, Lawrence R. Kleinberg, Eric A. Mellon, Hui-Kuo G. Shu, Hyunsuk Shim, Brent D. Weinberg
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Cancers
Subjects:
segmentation
glioblastoma
radiation treatment
longitudinal tracking
deep learning
Online Access:https://www.mdpi.com/2072-6694/15/15/3956

Internet

https://www.mdpi.com/2072-6694/15/15/3956

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