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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
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← Back to VOLUME 11, ISSUE 1, JANUARY 2022

Introduction to CNN (Convolution Neural Network) for medical e-Diagnosis

Vicky, Mayank Parashar

DOI: 10.17148/IJARCCE.2022.11159

Abstract: CNN classification is a big name in the field of image classification, segmentation of images and Natural Language Processing (NLP). The processing of medical images can be done by CNN to diagnose diseases. We will study the working of CNN and every individual component’s working. Along with that, we will analyze other researchers' work in this field and review their work in this paper. We will work on the solution to the real-life problem of the lack of healthcare professionals and the high cost of healthcare facilities. We will discuss how a multilayer perceptron approach can solve this real-life problem with computational ability.

Keywords: CNN, Convolution Neural Network, medical e-Diagnosis, computer vision, deep learning

How to Cite:

[1] Vicky, Mayank Parashar, “Introduction to CNN (Convolution Neural Network) for medical e-Diagnosis,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2022.11159