文章基本信息

标题：Skin Disease Identification and Diagnosis using Deep Learnin
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作者：BHARATI KALE ; SANGEETA UDAPUDI ; MADHAVI SURPUR 等
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2021
卷号：9
期号：7
页码：8139-8144
DOI：10.15680/IJIRCCE.2021.0907047
语种：English
出版社：S&S Publications
摘要：Dermatological disorders are one of the most widespread diseases in the world. Despite being common its diagnosis is extremely difficult because of its complexities of skin tone, color, presence of hair. Our project provides an approach to use computer vision based techniques (deep learning) to automatically predict the various kinds of skin diseases. The system uses publicly available image recognition architectures namely Inception V3 or Inception Resnet V2 or Mobile Net with modifications for skin disease application and successfully predicts the skin disease based on maximum voting from the three networks. These models are pretrained to recognize images several classes like panda, parrot etc which we will modify to predict skin diseases. The architectures are published by image recognition giants for public usage for various applications. The system consists of three phases- The feature extraction phase, the training phase and the testing /validation phase. The system makes use of deep learning technology to train itself with the various skin images. The main objective of this system is to achieve maximum accuracy of skin disease.
关键词：Computer Vision;Deeplearning;CNN;object detection;Inception V3;TensorFlow