福利姬

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We develop and implement medical image analysis methods using deep learning. Our medical focus areas are cancer, orthopedics and body composition analysis using multiple image and data modalities.

Sharing sensitive data, such as images of brain tumor patients, is complicated. This makes development of AI models for medical image analysis challenging. LiU researchers shows how such models can be trained without sharing sensitive information.

AI makes it possible to quickly and accurately mark areas to be eliminated with radiation when treating cancerous tumors. But due to lack of medical data to train AI models with, attempts are underway to train models with synthetic medical images.