Learning from Mistakes: An Error-Driven Mechanism to Improve Segmentation Performance Based on Expert Feedback
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-90874-4_7
Reference21 articles.
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5. Daisne, J.F., Blumhofer, A.: Atlas-based automatic segmentation of head and neck organs at risk and nodal target volumes: a clinical validation. Radiat. Oncol. 8(1), 1–11 (2013)
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