CT Image Segmentation
Raffles Student: Angely SIM Jia Wun
Bachelor of Information Systems (Honours) in Artificial Intelligence
Bachelor of Information Systems (Honours) in Artificial Intelligence
Module: Project II
Supervised by: Associate Professor Dr ARSOVSKI
Supervised by: Associate Professor Dr ARSOVSKI
The goal was to come up with an automatic segmentation tool using unsupervised methods to segment areas such as the bone, lung, airway, and vessel from a chest CT scan.
PATENTED
“A Method of Processing a Computed Tomography Image” [TEE IP: 2023/PT/U5.51/OP]
