Blue-White Veil Classification of Dermoscopy Images Using Convolutional Neural Networks and Invariant Dataset Augmentation-Reference-Cited by-同舟云学术

Blue-White Veil Classification of Dermoscopy Images Using Convolutional Neural Networks and Invariant Dataset Augmentation

Published:2021 Issue: Volume: Page:421-432
ISSN:2367-3370
Container-title:Advanced Information Networking and Applications
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Author:

Milczarski Piotr^ORCID,Beczkowski Michał^ORCID,Borowski Norbert^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-75075-6_34

Reference28 articles.

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2. Argenziano, G., Soyer, H.P., et al.: Dermoscopy of pigmented skin lesions: results of a consensus meeting via the Internet. J. Am. Acad. Dermatol. 48(9), 679–693 (2003)

3. Milczarski, P.: Symmetry of Hue Distribution in the Images. LNCS, vol. 10842, pp. 48–61. Springer (2018)

4. Kawahara, J., Daneshvar, S., Argenziano, G., Hamarneh, G.: Seven-point checklist and skin lesion classification using multitask multimodal neural nets. IEEE J. Biomed. Health Inform. 23(2), 538–546 (2019)

5. Argenziano, G., Fabbrocini, G., et al.: Epiluminescence microscopy for the diagnosis of doubtful melanocytic skin lesions. Comparison of the ABCD rule of dermatoscopy and a new 7-point checklist based on pattern analysis. Arch. Dermatol. 134, 1563–1570 (1998)

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