Eczema Disease Detection and Recognition in Cloud Computing

Azmi Shawkat Abdulbaki, Samir Abdulrasoul Khadim, Saif Al-din, M. Najim
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引用次数: 2

Abstract

ED (eczema disease) is the most common form of skin inflammation in humans. Most of the skin disease is curable at initial stages with the advancement of technology. So, an early detection of skin disease can save the patient's life and prevent the progression of the disease. It is proposed to have a study on the diagnosis of ED using BpNN (backpropagation neural network) in cloud computing approach due to that BpNN is currently widespread research area in medicine and plays an important role in a decision support system. In this paper, an attempt has been made to make use of BpNN in the medical field along cloud computing to detect ED.
云计算中的湿疹疾病检测与识别
ED(湿疹疾病)是人类最常见的皮肤炎症。随着技术的进步,大多数皮肤病在最初阶段是可以治愈的。因此,早期发现皮肤病可以挽救患者的生命,防止疾病的发展。鉴于BpNN (backpropagation neural network,反向传播神经网络)是目前医学领域较为广泛的研究领域,在决策支持系统中发挥着重要的作用,提出采用云计算方法对ED的诊断进行研究。本文尝试将BpNN与云计算一起应用于医疗领域来检测ED。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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