BriefGPT.xyz
Apr, 2020
少即是多：样本筛选和标签调整提升皮肤病变分割
Less is More: Sample Selection and Label Conditioning Improve Skin Lesion Segmentation
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Vinicius Ribeiro, Sandra Avila, Eduardo Valle
TL;DR
通过更少的数据选择培训样本，并将地面真实掩码的条件化来消除过度细节，探讨了分割可以改善的可能性，发现样本选择和详细程度的删除分别对应于选择更好的深度学习模型的12％和16％。
Abstract
Segmenting
skin lesions
images is relevant both for itself and for assisting in lesion classification, but suffers from the challenge in obtaining annotated data. In this work, we show that
segmentation
may impro
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