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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...

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Principais autores: Nabeela Kausar, Abdul Hameed, Mohsin Sattar, Ramiza Ashraf, Ali Shariq Imran, Muhammad Zain ul Abidin, Ammara Ali
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2021-11-01
Serier:Applied Sciences
Fag:
skin cancer
deep learning
ensemble classifier
multiclass skin cancer
classification model
ensemble models
Online adgang:https://www.mdpi.com/2076-3417/11/22/10593
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