AutoML Segmentation for 3D Medical Image Data: Contribution to the MSD Challenge 2018

Understand

Fueled by recent advances in machine learning, there has been tremendous progress in the field of semantic segmentation for the medical image computing community.

• However, developed algorithms are often optimized and validated by hand based on one task only.
• In combination with small datasets, interpreting the generalizability of the results is often difficult.
• The Medical Segmentation Decathlon challenge addresses this problem, and aims to facilitate development of generalizable 3D semantic segmentation algorithms that require no manual parametrization.