DePicT Melanoma Deep-CLASS: a deep convolutional neural networks approach to classify skin lesion images

DePicT Melanoma Deep-CLASS: a deep convolutional neural networks approach to classify skin lesion images

Abstract Background Melanoma results in the vast majority of skin cancer deaths during the last decades, even though this disease accounts for only one percent of all skin cancers’ instances. The survival rates of melanoma from early to terminal stages is more than fifty percent. Therefore, having t...

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Bibliographic Details
Main Authors: Sara Nasiri, Julien Helsper, Matthias Jung, Madjid Fathi
Format: Article
Language:English
Published: BMC 2020-03-01
Series:BMC Bioinformatics
Subjects:
Deep learning
Early detection
Skin cancer
Melanoma
Classification
Case-based reasoning
Online Access:http://link.springer.com/article/10.1186/s12859-020-3351-y

Internet

http://link.springer.com/article/10.1186/s12859-020-3351-y

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