Lightweight Brain Tumor Diagnosis via Knowledge Distillation

Rungpilin Anantathanavit, Farchan Hakim Raswa, Tipajin Thaipisutikul, Jia Ching Wang

研究成果: 書貢獻/報告類型會議論文篇章同行評審

摘要

Brain tumors pose a significant medical challenge, necessitating precise and rapid diagnosis for effective treatment and improved patient outcomes. This paper introduces knowledge distillation, which has the potential to revolutionize brain tumor diagnosis by enabling early identification from medical imaging data. Using a sophisticated teacher' model to capture intricate patterns, we distill this knowledge into a more efficient "student' model, aiming for comparable accuracy with reduced memory usage and improved inference times. Our method, based on a dataset of 357 MRI scans, demonstrated the potential of knowledge distillation in brain tumor diagnosis, offering a promising avenue for advancing patient care. The proposed model serves as a vital tool for healthcare practitioners, providing accurate and efficient support in detecting brain tumors and contributing to advancements in healthcare technology. The evaluation results indicate the effectiveness of our technique, achieving an impressive accuracy of 98.10

原文???core.languages.en_GB???
主出版物標題2024 International Conference on Multimedia Analysis and Pattern Recognition, MAPR 2024 - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9798350368437
DOIs
出版狀態已出版 - 2024
事件7th International Conference on Multimedia Analysis and Pattern Recognition, MAPR 2024 - Da Nang, Viet Nam
持續時間: 15 8月 202416 8月 2024

出版系列

名字2024 International Conference on Multimedia Analysis and Pattern Recognition, MAPR 2024 - Proceedings

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???event.eventtypes.event.conference???7th International Conference on Multimedia Analysis and Pattern Recognition, MAPR 2024
國家/地區Viet Nam
城市Da Nang
期間15/08/2416/08/24

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