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Title: Internet of medical things with cloud-based e-health services for brain tumour detection model using deep convolution neural network

Authors: M. Ganesan; N. Sivakumar; M. Thirumaran

Addresses: Department of CSE, Pondicherry University, Puducherry, India ' Department of CSE, Pondicherry Engineering College, Puducherry, India ' Department of CSE, Pondicherry Engineering College, Puducherry, India

Abstract: In the present days, e-health services offer various decision support systems in healthcare sector. These systems make use of internet of medical things (IoMT) devices and cloud platform to offer services to millions of people. In this paper, we develop an IoT with cloud-based brain tumour detection model using convolution neural network (CNN). Here, the input MRI brain images are captured by the use of medical equipments as well as IoT devices is used to transmit data to the cloud. In the cloud, the D-CNN model can be executed to identify the presence of disease and classify the brain tumour as malignant or benign. The presented D-CNN model is employed to a set of benchmark BRATS 2015 challenge dataset. The presented model attains maximum classifier performance with the sensitivity value of 97.17, specificity of 98.77 and accuracy of 98.07.

Keywords: e-health services; brain tumour; cloud computing; convolution neural network; CNN; decision support; internet of medical things; IoMT.

DOI: 10.1504/EG.2020.105240

Electronic Government, an International Journal, 2020 Vol.16 No.1/2, pp.69 - 83

Received: 12 Mar 2019
Accepted: 18 May 2019

Published online: 22 Feb 2020 *

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