Classification of radiological observation through image-sentence association

Imagia is an AI-driven personalized healthcare company, enabling collaborative development of predictive biomarkers. Its Evidens platform unites deep learning expertise and clinical insights on federated patient data from partnered hospitals & AI research institutions. Imagia delivers impactful solutions to healthcare providers, pharmaceutical companies and medical device manufacturers. Imagia’s mission is to leverage advances in artificial intelligence to accelerate accessible personalized medicine with an initial focus on personalized oncology.
This project aims at developing a software prototype which can automatically, or semi-automatically, associate available annotations to their context in radiological reports.

Faculty Supervisor:

Thomas Fevens

Student:

Qicheng Lao

Partner:

Imagia Cybernetics Inc

Discipline:

Engineering - computer / electrical

Sector:

Medical devices

University:

Program:

Accelerate

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