Deep learning-based GTV contouring modeling inter- and intra- observer variability in sarcomas

Deep learning-based GTV contouring modeling inter- and intra- observer variability in sarcomas

Background and purpose: The delineation of the gross tumor volume (GTV) is a critical step for radiation therapy treatment planning. The delineation procedure is typically performed manually which exposes two major issues: cost and reproducibility. Delineation is a time-consuming process that is sub...

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Bibliographic Details
Main Authors: Chen, Y.-L.E (Author), El Fakhri, G. (Author), Grogg, K. (Author), Lahoud, R.M (Author), Liu, X. (Author), Ma, C. (Author), Ma, X. (Author), Marin, T. (Author), Moteabbed, M. (Author), Shusharina, N. (Author), Tian, F. (Author), Woo, J. (Author), Xing, F. (Author), Zhuo, Y. (Author)
Format: Article
Language:English
Published: Elsevier Ireland Ltd 2022
Subjects:
Computer-assisted
Deep learning
Radiotherapy planning
Sarcoma
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