Towards a Digital Twin in Human Brain: Brain Tumor Detection Using K-Means
Anastasios Loukas Sarris, Efstathios Sidiropoulos, Evangelos Paraskevopoulos, Panagiotis D. Bamidis
Abstract
Digital Twins come to revolutionize the ongoing procedures of healthcare industry, with their ability to stimulate and predict patients' diagnosis and treatment. In this paper a K-means based brain tumor detection algorithm and its 3D modelling design, both derived from MRI scans, are presented towards to the creation of the digital twin.
Topics & Concepts
Human brainBrain tumorComputer scienceNeurosciencePsychologyMedicinePathologyBrain Tumor Detection and Classification