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Mar, 2024
自监督与混合监督提升多类医学图像分割训练标签
Self and Mixed Supervision to Improve Training Labels for Multi-Class Medical Image Segmentation
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Jianfei Liu, Christopher Parnell, Ronald M. Summers
TL;DR
通过使用双分支网络和迁移学习相结合的方式,该研究的主要目标是自动改进多类别图像分割的训练标签,实验证明了该方法的有效性。
Abstract
Accurate
training labels
are a key component for
multi-class medical image segmentation
. Their annotation is costly and time-consuming because it requires domain expertise. This work aims to develop a
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