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Deep Learning Based Segmentation of Various Brain Lesions for Radiosurgery

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Document pages: 20 pages

Abstract: Semantic segmentation of medical images with deep learning models is rapidlydeveloped. In this study, we benchmarked state-of-the-art deep learningsegmentation algorithms on our clinical stereotactic radiosurgery dataset,demonstrating the strengths and weaknesses of these algorithms in a fairlypractical scenario. In particular, we compared the model performances withrespect to their sampling method, model architecture, and the choice of lossfunctions, identifying the suitable settings for their applications andshedding light on the possible improvements.

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