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ANN based Computer aided diagnosis and classification of skin cancers


Article Information

Title: ANN based Computer aided diagnosis and classification of skin cancers

Authors: Sasirooba Thirumavalavann, Sasikala Jayaraman

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2017

Volume: 12

Issue: 1

Language: English

Categories

Abstract

This paper presents a Computer based early skin cancer detection system that involves preprocessing of noise removal and gray scale conversion, segmentation, feature extraction, and classification. The preprocessing step employs Median filter for removing thin hairs and other noises. The segmentation process extracts the suspicious region from the normal skin. The paper identifies 29 features that represent the unique features of skin images, and designs an ANN classifier based on the evaluated features to classify the skin images into malignant and benign. It discusses the results of sample skin images and compares them with those of existing methods with a view of exhibiting the superior performance of the proposed method.


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