March 7, 2018Open Access

Acral melanoma detection using a convolutional neural network for dermoscopy images

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Abstract

Although further data analysis is necessary to improve their accuracy, convolutional neural networks would be helpful to detect acral melanoma from dermoscopy images of the hands and feet.

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Cite this study

Yu et al. (Wed,) studied this question.

synapsesocial.com/papers/69d99b442a25b240b7a3cfea — DOI: https://doi.org/10.1371/journal.pone.0193321

Authors

Chanki Yu

Sogang University

Sejung Yang

Yonsei University

Won Oh Kim

Georgia Institute of Technology

Journals

SHILAP Revista de lepidopterología

PLoS ONE

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Institutions

Stanford University

Yonsei University

Ewha Womans University

References and Citations

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Building similarity graph...

Analyzing shared references across papers

Acral melanoma detection using a convolutional neural network for dermoscopy images

Key Points

Abstract

Citation Network

Connected Papers

Discussion

Cite this study

Authors

Journals

Actions

Institutions

References and Citations

Citation Network

Connected Papers

Discussion