Skin Lesion Segmentation and Multiclass Classification Using Deep Learning Features and Improved Moth Flame Optimization

Skin Lesion Segmentation and Multiclass Classification Using Deep Learning Features and Improved Moth Flame Optimization

Manual diagnosis of skin cancer is time-consuming and expensive; therefore, it is essential to develop automated diagnostics methods with the ability to classify multiclass skin lesions with greater accuracy. We propose a fully automated approach for multiclass skin lesion segmentation and classific...

Full description

Bibliographic Details
Main Authors: Muhammad Attique Khan, Muhammad Sharif, Tallha Akram, Robertas Damaševičius, Rytis Maskeliūnas
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Diagnostics
Subjects:
skin cancer
melanoma
heuristic feature optimization
moth flame optimization
deep features
feature fusion
Online Access:https://www.mdpi.com/2075-4418/11/5/811

Internet

https://www.mdpi.com/2075-4418/11/5/811

Similar Items