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Deep Learning-Based Skin Cancer Classification and Localization: A Comprehensive Approach for Accurate Diagnosis and Localization of Skin Cancers

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Al-Azhar University – Gaza
Qaoud A.N.; Abu-Naser S.S.
Qaoud, Alaa N. (60216683800); Abu-Naser, Samy S. (26533902900)
60216683800; 26533902900
2025
Lecture Notes in Networks and Systems
Deep Learning-Based Skin Cancer Classification and Localization: A Comprehensive Approach for Accurate Diagnosis and Localization of Skin Cancers
1537 LNNS
169
181
Bhateja V.; Oroumchian F.; Tang J.; Omar Z.
Springer Science and Business Media Deutschland GmbH
Department of Information Technology, Faculty of Engineering and Information Technology, Al-Azhar University, Gaza, Palestine
Qaoud A.N., Department of Information Technology, Faculty of Engineering and Information Technology, Al-Azhar University, Gaza, Palestine; Abu-Naser S.S., Department of Information Technology, Faculty of Engineering and Information Technology, Al-Azhar University, Gaza, Palestine
S.S. Abu-Naser; Department of Information Technology, Faculty of Engineering and Information Technology, Al-Azhar University, Gaza, Palestine; email: abunaser@alazhar.edu.ps
0
10.1007/978-981-96-9242-2_13
Classification; Deep learning; Localization; Skin cancer; Skin cancers
Classification (of information); Computer aided diagnosis; Dermatology; Diseases; Learning systems; Lung cancer; Cancer classification; Condition; Deep learning; F1 scores; Learning models; Localisation; Performance; Potentially fatal; Skin cancers; Deep learning