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Melanoma Skin Cancer Detection using Image Processing and Machine Learning

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Melanoma Skin Cancer Detection using Image Processing and Machine Learning


Vijayalakshmi M M

https://doi.org/10.31142/ijtsrd23936



Vijayalakshmi M M "Melanoma Skin Cancer Detection using Image Processing and Machine Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4, June 2019, pp.780-784, URL: https://www.ijtsrd.com/papers/ijtsrd23936.pdf

Dermatological Diseases are one of the biggest medical issues in 21st century due to its highly complex and expensive diagnosis with difficulties and subjectivity of human interpretation. In cases of fatal diseases like Melanoma diagnosis in early stages play a vital role in determining the probability of getting cured. We believe that the application of automated methods will help in early diagnosis especially with the set of images with variety of diagnosis. Hence, in this article we present a completely automated system of dermatological disease recognition through lesion images, a machine intervention in contrast to conventional medical personnel-based detection. Our model is designed into three phases compromising of data collection and augmentation, designing model and finally prediction. We have used multiple AI algorithms like Convolutional Neural Network and Support Vector Machine and amalgamated it with image processing tools to form a better structure, leading to higher accuracy of 85%.

Dermatology, Image Processing, Machine Learning, Melanoma


IJTSRD23936
Volume-3 | Issue-4, June 2019
780-784
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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