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  • WJPPS NOVEMBER ISSUE PUBLISHED
  • NOVEMBER 2020 Issue has been successfully launched on 1 November 2020

Abstract

DIAGNOSIS OF CANCER USING ARTIFICIAL NEURAL NETWORK AND CLOUD COMPUTING APPROACH

Ishwinder Kaur Sandhu*, Meera Nair, Ravindra Prasad Aharwal and Sardul Singh Sandhu

ABSTRACT

Diagnosis of cancer using a neural network approach engaging cloud computing has become one of the widest used technique for diagnosis of cancer. Generally, cloud computing facilitates data protection, privacy and medical record access whereas neural network judges the possibility rate of tumors in 960 of 1008 cases by using data from cancer positive patients (via tumor size, number of nodules, tumor hormone receptor status, etc.). User Interface Medical Services (UIMS) are the new developmental framework proposed for cancer diagnosis wherein neural networks and cloud computing enhances the efficiency and accuracy for diagnosis. In the present paper, the use of neural networks in diagnosis of cancer has been described with special reference to breast cancer detection using a cloud computing model. The paper also provides an overview of the different types of software’s used in cloud computing and how the utilization of neural network structures improves the medication and diagnosis of cancer in early stages.

Keywords: Neural Networks; Artificial Neural Networks; Cloud Computing; UIMS.


[Full Text Article]

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