An artificial intelligence approach for the recognition of early stages of eczema

D. Kalbande, Rohit Naik, J. Jatakia, U. Khopkar
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引用次数: 4

Abstract

The rural population of India suffers from various medical ailments and due to the lack of medical facilities and practitioners, enough support is not available. Medical help might come late and the problem might have been aggravated. With the increasing awareness about artificial intelligence (AI), it is possible to solve these problems using technology. The research aims at detecting an early stage of the skin disease 'eczema', when the affected part of the human body is captured through a smart phone and approximate symptoms are provided by the medical practitioner. It uses artificial intelligence algorithms like convolutional neural networks and support vector machines algorithm for classifying the images, and back propagation algorithm for training a model based on the symptoms. Around 50 clinical photographs of eczema acquired from KEM Hospital, Mumbai to train the classifier and then different images of eczema were tested with an accuracy of greater than 85%.
一种早期湿疹识别的人工智能方法
印度农村人口患有各种疾病,由于缺乏医疗设施和从业人员,无法获得足够的支持。医疗救助可能姗姗来迟,问题可能会进一步恶化。随着人们对人工智能(AI)的认识不断提高,利用技术解决这些问题是可能的。这项研究旨在检测皮肤病“湿疹”的早期阶段,当时通过智能手机捕捉到人体受影响的部位,并由医生提供大致的症状。它使用卷积神经网络和支持向量机算法等人工智能算法对图像进行分类,并使用反向传播算法根据症状训练模型。从孟买KEM医院获得的约50张湿疹临床照片用于训练分类器,然后对不同的湿疹图像进行测试,准确率超过85%。
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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