U-Net Autoencoder for Edge-Preserved Denoising of Low Dose Computed Tomography Images: A Novel Technique

• 主要な著者: Zubair, M., Md Rais, H.B., Al-Tashi, Q.
• フォーマット: Conference or Workshop Item
• 出版事項: Institute of Electrical and Electronics Engineers Inc. 2023
• オンライン･アクセス: http://scholars.utp.edu.my/id/eprint/38066/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174157396&doi=10.1109%2fCITA58204.2023.10262803&partnerID=40&md5=0a37ca4b32bfd4b5f5ae7772201703e3

Computed Tomography (CT) imaging has become a commonly used technique in healthcare to identify irregularities in the human body. However, CT scans involve exposure to electromagnetic radiation, which can pose health risks to patients. To address this, Low-Dose CT has been introduced, but it results...