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Dec, 2020
D-LEMA:基于多个标注的深度学习集成——应用于皮肤病变分割
D-LEMA: Deep Learning Ensembles from Multiple Annotations -- Application to Skin Lesion Segmentation
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Zahra Mirikharaji, Kumar Abhishek, Saeed Izadi, Ghassan Hamarneh
TL;DR
本文提出了一种利用 Bayes 卷积网络处理不同标注者之间矛盾标注情况的方法, 以提高深度学习模型在多标注医学图像分割上的性能和泛化能力。
Abstract
medical image segmentation
annotations
suffer from inter/intra-observer variations even among experts due to intrinsic differences in human annotators and ambiguous boundaries. Leveraging a collection of annotato
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