Cloud-Based Model for Detecting Skin Cancer
Keshav Shivkumar, Goutham Swaminathan, Teja Puvvadi, Arjun Shekar, Mrs. Shilpa S · 2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence) · 2022
Medicine is a crucial sector in human society and as generations go by, there is the constant strive to improve on healthcare to make diagnoses, cures, treatment, etc. better and easier. With the rise of machine learning and artificial intelligence in several markets, there is the obligatory attempt to use it in healthcare as well, wherein successful use cases have been developed; there have been multiple papers on using deep learning in medicine, and deep learning has shown immense potential in classifying medical images for detecting various diseases. This project aims to use deep learning to train a model to classify images of skin lesions as malignant or benign, and implement it in a marketable manner with a user sided interface. Cloud infrastructures have proven itself to be the go-to solution for hosting online services, because of its business efficiencies, cost savings, data security, interoperability and the redundancy of on-premise hardware. The focus on optimizing the current problem statement of detecting skin cancer is assisted by deploying the neural network model on the cloud service Amazon Web Services (AWS), to outsource data-intensive computing. To complete the planned execution, an Android mobile application was proposed so that the general public can make use of the neural network in a simple and easy-to-use manner.