Automated classification of atherosclerotic radiomics features in Coronary Computed Tomography Angiography (CCTA)

• Main Authors: Yunus, Mardhiyati Mohd, Yusof, Ahmad Khairuddin Mohamed, Ab Rahman, Muhd Zaidi, Koh, Xue Jing, Sabarudin, Akmal, Nohuddin, Puteri N. E., Ng, Kwan Hoong, Kechik, Mohd Mustafa Awang, Karim, Muhammad Khalis Abdul
• Format: Article
• Published: MDPI 2022
• Subjects: QA75 Electronic computers. Computer science; R Medicine (General)
• Online Access: http://eprints.um.edu.my/41678/
• Institution: Universiti Malaya

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)...