Predictive Approach for Melanoma Skin Cancer Detection using CNN

7 Pages Posted: 12 Jun 2019

See all articles by Arneesh Aima

Arneesh Aima

Manipal University Jaipur

Akhilesh Kumar Sharma

Manipal University Jaipur

Date Written: March 14, 2019

Abstract

Melanoma skin cancer is one of the most fatal skin cancer forms but can be easily cured if detected early enough. In this paper, we have presented a solution for detecting early stage melanoma skin cancer using a convolution neural network. Image processing is applied on raw images before feeding them to the neural network. We have utilized 514 dermoscopic images from the International Skin Imaging Collaboration (ISIC) archive for training and validating our model. The experimental results obtained via this process were promising and would immensely help dermatologists in early stage detection of melanoma.

Keywords: Melanoma, CNN, Skin Cancer, Image Processing

Suggested Citation

Aima, Arneesh and Sharma, Akhilesh Kumar, Predictive Approach for Melanoma Skin Cancer Detection using CNN (March 14, 2019). Proceedings of International Conference on Sustainable Computing in Science, Technology and Management (SUSCOM), Amity University Rajasthan, Jaipur - India, February 26-28, 2019, Available at SSRN: https://ssrn.com/abstract=3352407 or http://dx.doi.org/10.2139/ssrn.3352407

Arneesh Aima

Manipal University Jaipur ( email )

Dehmi Kalan,
Near GVK Toll Plaza, Jaipur-Ajmer Exp
Jaipur, RI Rajasthan 303007
India

Akhilesh Kumar Sharma (Contact Author)

Manipal University Jaipur ( email )

Dehmi Kalan,
Near GVK Toll Plaza, Jaipur-Ajmer Exp
Jaipur, RI Rajasthan 303007
India

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