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A Graduation Project for Female Students in the Department of Computer Science Participates in AECT2019

Published In 2020/09/13
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The graduates Tasnim Al-Karkatly, Shaza Aida, Miad Al-Sarwani, and Alaa Al-Subhy have published a scientific paper in one of IEEE conferences

Entitled:

Skin Lesion Identification Using Deep Convolutional Neural Networks

Their scientific paper, published this year, is an outcome of their graduation project, which was carried out under the supervision of Dr. Muhsin Bilal, who recently moved to work at the University of Warwick in the United Kingdom.

The paper discussed the possibility of classifying pictures of skin lesions automatically depending on deep learning forms, with a high accuracy reaching an average of 95%, using one of the well-known testing databases, Convolutional Neural Networks (CNN).

You can review the scientific paper by clicking on the following link:

Click here  

Last Modified Date: 2020/09/13 - 11:15 م Saudi Arabia Time