Go to Article
Excerpt from medicalxpress.com
The study, published in the journal Medical Image Analysis, was led by Professors Kilian Pohl and Ehsan Adeli at Stanford University and Professor Sanghyun Park at the Department of Robotics and Mechatronics Engineering, the Daegu Gyeongbuk Institute of Science & Technology.
Hospitals and other health care institutions have organ image data for various parts of the body for different purposes. To facilitate and provide health care more accurately, however, it is necessary to develop an AI model for multi-organ segmentation based on the medical data that individual institutions do not have.