Annotation-efficient learning of surgical instrument activity in neurosurgery
Machine learning-based solutions rely heavily on the quality and quantity of the training data. In the medical domain, the main challenge is to acquire rich and diverse annotated datasets for training. We propose to decrease the annotation efforts and further diversify the dataset by introducing an...
Main Authors: | Philipp Markus, Alperovich Anna, Lisogorov Alexander, Gutt-Will Marielena, Mathis Andrea, Saur Stefan, Raabe Andreas, Mathis-Ullrich Franziska |
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Format: | Article |
Language: | English |
Published: |
De Gruyter
2022-07-01
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Series: | Current Directions in Biomedical Engineering |
Subjects: | |
Online Access: | https://doi.org/10.1515/cdbme-2022-0008 |
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