Integrating machine learning with Bladder Image Segmentation

Nam Vu
AUTHOR: Nam Vu


PROBLEM:

Identify the feasibility of using machine learning approaches for medical image auto-segmentation (auto-contour) of the bladder from DICOM image set and manual contour set (10 anonymized patients) provided by our customer.

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