A Deep Learning Based Approach to Skin Lesion Border Extraction with a Novel Edge Detector in Dermoscopy Images

Abder Rahman Ali; Jingpeng Li; Sally Jane O'Shea; Guang Yang; Thomas Trappenberg; Xujiong Ye

doi:10.1109/IJCNN.2019.8852134

A Deep Learning Based Approach to Skin Lesion Border Extraction with a Novel Edge Detector in Dermoscopy Images

Abder Rahman Ali, Jingpeng Li, Sally Jane O'Shea, Guang Yang, Thomas Trappenberg, Xujiong Ye

Earth and Planetary Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

17 Citations (Scopus)

Original language	English
Title of host publication	2019 International Joint Conference on Neural Networks, IJCNN 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728119854
DOIs	https://doi.org/10.1109/IJCNN.2019.8852134
Publication status	Published - Jul 2019
Event	2019 International Joint Conference on Neural Networks, IJCNN 2019 - Budapest, Hungary Duration: Jul 14 2019 → Jul 19 2019

Publication series

Name	Proceedings of the International Joint Conference on Neural Networks
Volume	2019-July

Conference

Conference	2019 International Joint Conference on Neural Networks, IJCNN 2019
Country/Territory	Hungary
City	Budapest
Period	7/14/19 → 7/19/19

ASJC Scopus Subject Areas

Software
Artificial Intelligence

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/IJCNN.2019.8852134

Cite this

Ali, A. R., Li, J., O'Shea, S. J., Yang, G., Trappenberg, T., & Ye, X. (2019). A Deep Learning Based Approach to Skin Lesion Border Extraction with a Novel Edge Detector in Dermoscopy Images. In 2019 International Joint Conference on Neural Networks, IJCNN 2019 Article 8852134 (Proceedings of the International Joint Conference on Neural Networks; Vol. 2019-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IJCNN.2019.8852134

A Deep Learning Based Approach to Skin Lesion Border Extraction with a Novel Edge Detector in Dermoscopy Images. / Ali, Abder Rahman; Li, Jingpeng; O'Shea, Sally Jane et al.
2019 International Joint Conference on Neural Networks, IJCNN 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8852134 (Proceedings of the International Joint Conference on Neural Networks; Vol. 2019-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ali, AR, Li, J, O'Shea, SJ, Yang, G, Trappenberg, T & Ye, X 2019, A Deep Learning Based Approach to Skin Lesion Border Extraction with a Novel Edge Detector in Dermoscopy Images. in 2019 International Joint Conference on Neural Networks, IJCNN 2019., 8852134, Proceedings of the International Joint Conference on Neural Networks, vol. 2019-July, Institute of Electrical and Electronics Engineers Inc., 2019 International Joint Conference on Neural Networks, IJCNN 2019, Budapest, Hungary, 7/14/19. https://doi.org/10.1109/IJCNN.2019.8852134

Ali AR, Li J, O'Shea SJ, Yang G, Trappenberg T, Ye X. A Deep Learning Based Approach to Skin Lesion Border Extraction with a Novel Edge Detector in Dermoscopy Images. In 2019 International Joint Conference on Neural Networks, IJCNN 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 8852134. (Proceedings of the International Joint Conference on Neural Networks). doi: 10.1109/IJCNN.2019.8852134

Ali, Abder Rahman ; Li, Jingpeng ; O'Shea, Sally Jane et al. / A Deep Learning Based Approach to Skin Lesion Border Extraction with a Novel Edge Detector in Dermoscopy Images. 2019 International Joint Conference on Neural Networks, IJCNN 2019. Institute of Electrical and Electronics Engineers Inc., 2019. (Proceedings of the International Joint Conference on Neural Networks).

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A Deep Learning Based Approach to Skin Lesion Border Extraction with a Novel Edge Detector in Dermoscopy Images

Publication series

Conference

ASJC Scopus Subject Areas

UN SDGs

Access to Document

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