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Melanoma Prediction using Convolutional Neural Networks

by Avantika Shenoy, Bhavin Shewkani, Tarun Utamchandani
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 182 - Number 33
Year of Publication: 2018
Authors: Avantika Shenoy, Bhavin Shewkani, Tarun Utamchandani
10.5120/ijca2018918268

Avantika Shenoy, Bhavin Shewkani, Tarun Utamchandani . Melanoma Prediction using Convolutional Neural Networks. International Journal of Computer Applications. 182, 33 ( Dec 2018), 17-20. DOI=10.5120/ijca2018918268

@article{ 10.5120/ijca2018918268,
author = { Avantika Shenoy, Bhavin Shewkani, Tarun Utamchandani },
title = { Melanoma Prediction using Convolutional Neural Networks },
journal = { International Journal of Computer Applications },
issue_date = { Dec 2018 },
volume = { 182 },
number = { 33 },
month = { Dec },
year = { 2018 },
issn = { 0975-8887 },
pages = { 17-20 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume182/number33/30242-2018918268/ },
doi = { 10.5120/ijca2018918268 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:13:10.335373+05:30
%A Avantika Shenoy
%A Bhavin Shewkani
%A Tarun Utamchandani
%T Melanoma Prediction using Convolutional Neural Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 182
%N 33
%P 17-20
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Melanoma is one of the most common types of skin cancer. Early detection of melanoma could prove to be the vital difference. The system proposes the use of neural networks to get a quick and accurate estimate and also determine the probability of skin cancer. The use of convolutional neural network as well as back propagation neural networks ensures that the system will have increased accuracy while the image processing techniques (RGB to grayscale, median filtering, segmentation) are in place to reduce the complexity and requirements of the system.

References
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  10. James C. Church, Yixin Chen, and Stephen V. Rice Department of Computer and Information Science, University of Mississippi, “A Spatial Median Filter for Noise Removal in Digital Images”, IEEE, page(s): 618- 623, 2008.
  11. N. Murata, S. Yoshizawa, and S. Amari, ―Learning curves, model selection and complexity of neural networks,‖ in Advances in Neural Information Processing Systems 5, S. Jose Hanson, J. D. Cowan, and C. Lee Giles, ed. San Mateo, CA: Morgan Kaufmann, 1993, pp. 607-614
Index Terms

Computer Science
Information Sciences

Keywords

CNN-Convolutional Neural Network BPNN-Back Propagation Neural Network SVM-Suport Vector Machines Melanoma- a type of skin cancer that occurs in Melanocytes Skin cancer-abnormal multiplication of skin cells Melanocytes-skin cells that impart colour to the skin.

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