Automated classification of atherosclerotic radiomics features in coronary computed tomography angiography (CCTA)

• Main Authors: Mohd Yunus, Mardhiyati, Mohamed Yusof, Ahmad Khairuddin, Ab Rahman, Muhd Zaidi, Koh, Xue Jing, Sabarudin, Akmal, Nohuddin, Puteri N. E., Ng, Kwan Hoong, Awang Kechik, Mohd Mustafa, Abdul Karim, Muhammad Khalis
• Format: Article
• Published: MDPI 2022
• Online Access: http://psasir.upm.edu.my/id/eprint/100494/; https://www.mdpi.com/2075-4418/12/7/1660

Radiomics is the process of extracting useful quantitative features of high-dimensional data that allows for automated disease classification, including atherosclerotic disease. Hence, this study aimed to quantify and extract the radiomic features from Coronary Computed Tomography Angiography (CCTA)...