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Towards Better Dermoscopic Image Feature Representation Learning for Melanoma Classification by ChengHui Yu; MingKang Tang; ShengGe Yang; MingQing Wang; Zhe Xu; JiangPeng Yan; HanMo Chen; Yu Yang; Xiao-Jun Zeng; Xiu Li is a book available to read on EtoBox.

What is Towards Better Dermoscopic Image Feature Representation Learning for Melanoma Classification about?

The four-volume proceedings LNCS 13108, 13109, 13110, and 13111 constitutes the proceedings of the 28th International Conference on Neural Information Processing, ICONIP 2021, which was held during December 8-12, 2021. The conference was planned to take place in Bali, Indonesia but changed to an online format due to the COVID-19 pandemic. The total of 226 full papers presented in these proceedings was carefully reviewed and selected from 1093 submissions. The papers were organized in topical sections as follows: Part I: Theory and algorithms; Part II: Theory and algorithms; human centred computing; AI and cybersecurity; Part III: Cognitive neurosciences; reliable, robust, and secure machine learning algorithms; theory and applications of natural computing paradigms; advances in deep and shallow machine learning algorithms for biomedical data and imaging; applications;   Part IV: Applications.

Author

ChengHui Yu; MingKang Tang; ShengGe Yang; MingQing Wang; Zhe Xu; JiangPeng Yan; HanMo Chen; Yu Yang; Xiao-Jun Zeng; Xiu Li

Publisher

Springer International Publishing : Imprint: Springer

Published

2021

Language

EN

ISBN

9783030922733

Subjects

Engineering, Computer Science, Education