Automated deep learning approach for classification of malignant melanoma and benign skin lesions

Automated deep learning approach for classification of malignant melanoma and benign skin lesions

Skin cancer becomes a significant health problem worldwide with an increasing incidence over the past decades. Due to the fine-grained differences in the appearance of skin lesions, it is very challenging to develop an automated system for benign-malignant classification through images. This paper p...

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Bibliographic Details
Main Authors: Eltrass, A.S (Author), Salma, W. (Author)
Format: Article
Language:English
Published: Springer 2022
Subjects:
Automated systems
Automation
Classification performance
Color
Computer aided diagnosis
Computer aided diagnosis systems
Convolutional neural networks
Deep learning
Dermatology
Diseases
Fine grained
Learning approach
Lesion classification
Malignant melanoma
Oncology
Performance
Skin cancers
Skin lesion
Support vector machines
Online Access:View Fulltext in Publisher

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