New AI model uses federated learning for multi-organ segmentation based on medical image data

Researchers have successfully developed the technology that can accurately segment different body organs by effectively learning medical image data used for different purposes in different hospitals, which is expected to greatly contribute to the development of large-scale medical AI models in the future.

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Kilian Pohl ,Soopil Kim ,Department Of Robotics ,Daegu Gyeongbuk Institute Of Science Technology ,Ehsan Adeli At Stanford University ,Medical Image Analysis ,Professors Kilian Pohl ,Ehsan Adeli ,Stanford University ,Professor Sanghyun Park ,Mechatronics Engineering ,Daegu Gyeongbuk Institute ,Professor Park ,