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A Weight-Selection Strategy on Training Deep Neural Networks for Imbalanced Classification Read chapter Read first chapter

2017 | OriginalPaper | Chapter

Automatic Detection of Globules, Streaks and Pigment Network Based on Texture and Color Analysis in Dermoscopic Images

Authors : Amaya Jiménez, Carmen Serrano, Begoña Acha

Published in: Image Analysis and Recognition

Publisher: Springer International Publishing

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Abstract

Melanoma diagnosis in early stages is a difficult task, which requires highly qualified and trained staff. Therefore, a computer aided diagnosis tool to assist non-specialized physicians in the assessment of pigmented lesions would be desirable. In this paper a method to detect streaks, globules and pigment network, which are very important features to evaluate the malignancy of a lesion, is presented. The algorithm calculates the texton histograms of color and texture features extracted from a filter bank, that feed a Support Vector Machine. The method has been tested with 176 images attaining an accuracy of 80%, outperfoming the benchmark techniques used as comparison.

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Metadata
Title
Automatic Detection of Globules, Streaks and Pigment Network Based on Texture and Color Analysis in Dermoscopic Images
Authors
Amaya Jiménez
Carmen Serrano
Begoña Acha
Copyright Year
2017
Book
Image Analysis and Recognition

Print ISBN: 978-3-319-59875-8

Electronic ISBN: 978-3-319-59876-5

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-59876-5_54

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