FCN-Based DenseNet Framework for Automated Detection and Classification of Skin Lesions in Dermoscopy Images

FCN-Based DenseNet Framework for Automated Detection and Classification of Skin Lesions in Dermoscopy Images

Skin Lesion detection and classification are very critical in diagnosing skin malignancy. Existing Deep learning-based Computer-aided diagnosis (CAD) methods still perform poorly on challenging skin lesions with complex features such as fuzzy boundaries, artifacts presence, low contrast with the bac...

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Bibliographic Details
Main Authors: Adekanmi A. Adegun, Serestina Viriri
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Skin lesion
deep leraning
CAD
classification
FCN
CRF
Online Access:https://ieeexplore.ieee.org/document/9167192/

Internet

https://ieeexplore.ieee.org/document/9167192/

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