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Conference Proceeding

Supervised Versus Unsupervised Deep Learning Based Methods for Skin Lesion Segmentation in Dermoscopy Images

Citation
Ali A, Li J & Trappenberg T (2019) Supervised Versus Unsupervised Deep Learning Based Methods for Skin Lesion Segmentation in Dermoscopy Images. In: Meurs M & Rudzicz F (eds.) Advances in Artificial Intelligence. Lecture Notes in Computer Science, 11489. Canadian AI 2019: 32nd Canadian Conference on Artificial Intelligence, Kingston, ON, Canada, 28.05.2019-31.05.2019. Cham, Switzerland: Springer, pp. 373-379. https://doi.org/10.1007/978-3-030-18305-9_32

Abstract
Image segmentation is considered a crucial step in automatic dermoscopic image analysis as it affects the accuracy of subsequent steps. The huge progress in deep learning has recently revolutionized the image recognition and computer vision domains. In this paper, we compare a supervised deep learning based approach with an unsupervised deep learning based approach for the task of skin lesion segmentation in dermoscopy images. Results show that, by using the default parameter settings and network configurations proposed in the original approaches, although the unsupervised approach could detect fine structures of skin lesions in some occasions, the supervised approach shows much higher accuracy in terms of Dice coefficient and Jaccard index compared to the unsupervised approach, resulting in 77.7% vs. 40% and 67.2% vs. 30.4%, respectively. With a proposed modification to the unsupervised approach, the Dice and Jaccard values improved to 54.3% and 44%, respectively.

Keywords
Deep learning; Dermoscopy; Melanoma

StatusPublished
Author(s)Ali, Abder-Rahman; Li, Jingpeng; Trappenberg, Thomas
Title of seriesLecture Notes in Computer Science
Number in series11489
Publication date31/12/2019
Publication date online24/04/2019
URLhttp://hdl.handle.net/1893/29692
PublisherSpringer
Place of publicationCham, Switzerland
ISSN of series0302-9743
ISBN978-3030183042
eISBN978-3-030-18305-9
ConferenceCanadian AI 2019: 32nd Canadian Conference on Artificial Intelligence
Conference locationKingston, ON, Canada
Dates
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