Use of Xception Architecture for the Classification of Skin Lesions

This study investigates the application of the Xception architecture for accurate classification of skin lesions, focusing on the early detection of melanoma and other malignant skin conditions. Utilizing deep learning techniques, the research aims to enhance the precision and efficiency of skin les...

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Bibliographic Details
Main Authors: Cledmir Tejada, Gustavo Espinoza, Daniel Subauste
Format: Article
Language:English
Published: International Institute of Informatics and Cybernetics 2024-06-01
Series:Journal of Systemics, Cybernetics and Informatics
Subjects:
Online Access:http://www.iiisci.org/Journal/PDV/sci/pdfs/ZA541NL24.pdf
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