Towards a Digital Twin in Human Brain: Brain Tumor Detection Using K-Means

被引：3
|
作者：
Sarris, Anastasios Loukas [1 ]
Sidiropoulos, Efstathios [1 ]
Paraskevopoulos, Evangelos [2 ]
Bamidis, Panagiotis [2 ]
机构：
[1] Anaptixiaki Meletitiki Voriou Ellados, Thessaloniki, Greece
[2] Lab Med Phys & Digital Innovat, Thessaloniki, Greece
来源：
CARING IS SHARING-EXPLOITING THE VALUE IN DATA FOR HEALTH AND INNOVATION-PROCEEDINGS OF MIE 2023 | 2023年 / 302卷
关键词：
Digital Twin; Brain Tumor; Clustering; K-means;
D O I：
10.3233/SHTI230345
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
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.
引用
收藏
页码：1052 / 1056
页数：5
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