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cs.CV2023
Unsupervised correspondence with combined geometric learning and imaging for radiotherapy applications
Edward G. A. Henderson, Marcel van Herk, Andrew F. Green +1
The aim of this study was to develop a model to accurately identify corresponding points between organ segmentations of different patients for radiotherapy applications. A model fo…
cs.CV2023
The impact of training dataset size and ensemble inference strategies on head and neck auto-segmentation
Edward G. A. Henderson, Marcel van Herk, Eliana M. Vasquez Osorio
Convolutional neural networks (CNNs) are increasingly being used to automate segmentation of organs-at-risk in radiotherapy. Since large sets of highly curated data are scarce, we…