Cloud-Based Skin Lesion Diagnosis System Using Convolutional Neural Networks

In this paper, we developed cloud-based skin lesion diagnosis system using convolutional neural networks, which consists of the following: (a) Deep learning based classifier that processes user submitted lesion images which runs on a server connected to the cloud based database. (b) Deep learning based classifier performs quality checks and filters user requests before the request is sent off to the diagnosis classifier. (c) A mobile application that runs on Android and iOS platforms to showcase the system. We designed and implemented the system’s architecture.

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