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Don't Tear Your Hair Out: Analysis of the Impact of Skin Hair on the Diagnosis of Microscopic Skin Lesions

机译:不要撕掉你的头发:分析皮肤头发对微观皮肤病变的诊断

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Recent work on the classification of microscopic skin lesions does not consider how the presence of skin hair may affect diagnosis. In this work, we investigate how deep-learning models can handle a varying amount of skin hair during their predictions. We present an automated processing pipeline that tests the performance of the classification model. We conclude that, under realistic conditions, modern day classification models are robust to the presence of skin hair and we investigate three architectural choices (Resnet50, InceptionV3, Densenet121) that make them so.
机译:最近的微观皮肤病变分类的工作不考虑皮肤头发的存在可能会影响诊断。 在这项工作中,我们研究了深度学习模型在预测期间如何处理不同数量的皮肤头发。 我们提出了一种自动化处理管道,用于测试分类模型的性能。 我们得出结论,在现实的条件下,现代的日期分类模型对皮肤头发的存在具有鲁棒,我们调查了制造它们的三个建筑选择(Reset50,Inceptionv3,DenSenet121)。

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