Dermoscopy Image Classification Based on StyleGAN and DenseNet201

Dermoscopy Image Classification Based on StyleGAN and DenseNet201

Melanoma is considered one of the most lethal skin cancers. However, skin lesion classification based on deep learning diagnostic techniques is a challenging task owing to the insufficiency of labeled skin lesion images and intraclass-imbalanced datasets. It is thus necessary to utilize data augment...

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Bibliographic Details
Main Authors: Chen Zhao, Renjun Shuai, Li Ma, Wenjia Liu, Die Hu, Menglin Wu
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
StyleGAN
DenseNet
melanoma
skin lesion classification
convolutional neural networks
dermoscopy images
Online Access:https://ieeexplore.ieee.org/document/9316160/

Internet

https://ieeexplore.ieee.org/document/9316160/

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