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首页> 外文期刊>Journal of Real-Time Image Processing >A mobile augmented reality application for supporting real-time skin lesion analysis based on deep learning
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A mobile augmented reality application for supporting real-time skin lesion analysis based on deep learning

机译：基于深度学习的基于深度学习的实时皮肤病变分析的移动增强现实应用

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摘要

Melanoma is considered the deadliest skin cancer and when it is in an advanced state it is difficult to treat. Diagnoses are visually performed by dermatologists, by naked-eye observation. This paper proposes an augmented reality smartphone application for supporting the dermatologist in the real-time analysis of a skin lesion. The app augments the camera view with information related to the lesion features generally measured by the dermatologist for formulating the diagnosis. The lesion is also classified by a deep learning approach for identifying melanoma. The real-time process adopted for generating the augmented content is described. The real-time performances are also evaluated and a user study is also conducted. Results revealed that the real-time process may be entirely executed on the Smartphone and that the support provided is well judged by the target users.
机译：黑色素瘤被认为是最致命的皮肤癌，并且当处于高级状态时，难以治疗。 通过裸眼观察，皮肤科医生目视进行诊断。 本文提出了一种增强现实智能手机应用，用于在皮肤病变的实时分析中支持皮肤科医生。 应用程序增加了相机视图，其中包含与皮肤科学家通常测量的病变特征相关的信息，以制定诊断。 病变还通过深入学习方法来鉴定黑色素瘤。 描述了用于生成增强内容的实时过程。 还评估实时性能，并且还进行了用户研究。 结果表明，实时过程可以完全在智能手机上执行，并且所提供的支持是由目标用户判断的。

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