Multiclass Skin Cancer Classification Using Ensemble of Fine-Tuned Deep Learning Models

Multiclass Skin Cancer Classification Using Ensemble of Fine-Tuned Deep Learning Models

Skin cancer is a widespread disease associated with eight diagnostic classes. The diagnosis of multiple types of skin cancer is a challenging task for dermatologists due to the similarity of skin cancer classes in phenotype. The average accuracy of multiclass skin cancer diagnosis is 62% to 80%. The...

Full description

Bibliographic Details
Main Authors: Nabeela Kausar, Abdul Hameed, Mohsin Sattar, Ramiza Ashraf, Ali Shariq Imran, Muhammad Zain ul Abidin, Ammara Ali
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Applied Sciences
Subjects:
skin cancer
deep learning
ensemble classifier
multiclass skin cancer
classification model
ensemble models
Online Access:https://www.mdpi.com/2076-3417/11/22/10593

Similar Items

Similar Items