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Soft-CP: A Credible and Effective Data Augmentation for Semantic Segmentation of Medical Lesions
[article]
2022
arXiv
pre-print
The medical datasets are usually faced with the problem of scarcity and data imbalance. Moreover, annotating large datasets for semantic segmentation of medical lesions is domain-knowledge and time-consuming. In this paper, we propose a new object-blend method(short in soft-CP) that combines the Copy-Paste augmentation method for semantic segmentation of medical lesions offline, ensuring the correct edge information around the lession to solve the issue above-mentioned. We proved the method's
arXiv:2203.10507v1
fatcat:qdw46tkjefhohpfkqjqpwxjo5a