SkinNet-INIO: Multiclass Skin Lesion Localization and Classification Using Fusion-Assisted Deep Neural Networks and Improved Nature-Inspired Optimization Algorithm.

Hussain, Muneezah; Khan, Muhammad Attique; Damasevicius, Robertas; Alasiry, Areej; Marzougui, Mehrez; Alhaisoni, Majed; Masood, Anum

Hussain, Muneezah; Khan, Muhammad Attique; Damasevicius, Robertas; Alasiry, Areej; Marzougui, Mehrez; Alhaisoni, Majed; Masood, Anum.

Afiliação

Hussain M; Department of CS, HITEC University, Taxila 47080, Pakistan.
Khan MA; Department of Computer Science and Mathematics, Lebanese American University, Beirut 13-5053, Lebanon.
Damasevicius R; Department of Computer Science, HITEC University, Taxila 47080, Pakistan.
Alasiry A; Center of Excellence Forest 4.0, Faculty of Informatics, Kaunas University of Technology, 51368 Kaunas, Lithuania.
Marzougui M; College of Computer Science, King Khalid University, Abha 61413, Saudi Arabia.
Alhaisoni M; College of Computer Science, King Khalid University, Abha 61413, Saudi Arabia.
Masood A; Computer Sciences Department, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh 11564, Saudi Arabia.

Diagnostics (Basel) ; 13(18)2023 Sep 06.

Article em En | MEDLINE | ID: mdl-37761236

Palavras-chave

deep learning; feature selection; features fusion; hyperparameters selection; image processing; machine learning; skin cancer

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies Idioma: En Revista: Diagnostics (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Paquistão

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