Deep match: A zero-shot framework for improved fiducial-free respiratory motion tracking
CONCLUSION: Deep Match is a zero-shot learning network that explores the intrinsic neural network benefits without training on patient data. With Deep Match, fiducial-free tracking can be extended to more patients with small tumors and with tumors obscured by overlapping anatomy.PMID:38403025 | DOI:10.1016/j.radonc.2024.110179
Source: Radiotherapy and Oncology : journal of the European Society for Therapeutic Radiology and Oncology - Category: Radiology Authors: Di Xu Martina Descovich Hengjie Liu Yi Lao Alexander R Gottschalk Ke Sheng Source Type: research
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