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Thyroid Cancer Risk Classification Using Machine Learning and Deep Learning Techniques: A Comparative Study with Balanced Dataset Augmentation

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University of Palestine
Alkahlout M.A.; Abu-Naser S.S.
Alkahlout, Mohammed A. (57218444086); Abu-Naser, Samy S. (26533902900)
57218444086; 26533902900
2025
Lecture Notes in Networks and Systems
Thyroid Cancer Risk Classification Using Machine Learning and Deep Learning Techniques: A Comparative Study with Balanced Dataset Augmentation
1537 LNNS
223
235
Bhateja V.; Oroumchian F.; Tang J.; Omar Z.
Springer Science and Business Media Deutschland GmbH
Artificial Intelligence, University of Palestine, Gaza, Palestine; Department of Information Technology, Faculty of Engineering and Information Technology, Al-Azhar University, Gaza, Palestine
Alkahlout M.A., Artificial Intelligence, University of Palestine, 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_17
Abunaser technique; Balanced dataset; Data augmentation; Deep learning; Machine learning; Random forest classifier; Thyroid cancer risk classification
Balancing; Biomedical engineering; Classification (of information); Classifiers; Data accuracy; Diseases; Learning algorithms; Learning systems; Logistic regression; Medical computing; Risk perception; Statistical tests; Abunaser technique; Balanced datasets; Cancer risk; Data augmentation; Deep learning; Machine-learning; Random forest classifier; Risk classification; Thyroid cancer risk classification; Thyroid cancers; Deep learning