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Detection and Quantification of Hand Eczema by Visible Spectrum Skin Pattern Analysis

机译:可见光谱皮肤图案分析检测和定量手湿疹

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Hand eczema is a frequent dermatosis with severe health and financial consequences to patients and society. It follows a chronic course and persists up to 15 years after onset. Early detection of an exacerbation followed by the application of specific drugs for a few days can considerably reduce disease activity and avoid temporary disability. However, dermatitis patients usually rely on their own perception in assessing their skin condition and therefore often miss the time point for effective treatment. In this paper we present a prototype-based feasibility study of automated detection and quantification of hand eczema using texton-based imaging and machine-learning techniques.
机译:手中的湿疹是一种常见的皮肤病,对患者和社会的健康和财务后果。它遵循慢性课程,持续持续15年后发病。早期检测加剧后,特定药物的应用几天可大大降低疾病活动,避免暂时的残疾。然而,皮炎患者通常依靠自己在评估其皮肤状况时依靠自己的感知,因此经常错过有效治疗的时间点。在本文中,我们使用基于Texton的成像和机器学习技术,提出了一种基于原型的自动检测和量化手动湿疹的定量的可行性研究。

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