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

Saved in:
Bibliographic Details
Main Authors: Nabeela Kausar, Abdul Hameed, Mohsin Sattar, Ramiza Ashraf, Ali Shariq Imran, Muhammad Zain ul Abidin, Ammara Ali
Format: article
Language:EN
Published: MDPI AG 2021
Subjects:
skin cancer
deep learning
ensemble classifier
multiclass skin cancer
classification model
ensemble models
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
Biology (General)
QH301-705.5
Physics
QC1-999
Chemistry
QD1-999
Online Access:https://doaj.org/article/5c6ff192889542f4ae1de6c876d3f22f
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doaj.org/article/5c6ff192889542f4ae1de6c876d3f22f

Similar Items