Bart: How deep learning can improve medical image analysis and help save lives

Real world data dilemma

One of the major challenges in the current phase of the project is working with raw, real-world data instead of the ready-to-use, clean datasets typically encountered in benchmark datasets (i.e., in online competitions and grand challenges). As a result, the machine learning models don’t perform on the same level as reported in scientific research based on benchmark data.

Detecting landmarks in medical imaging

The process is often tedious and slow going, but Bart says important first steps are being taken in this large and ambitious project.



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