DeepSSM: A Deep Learning Framework for Statistical Shape Modeling from Raw Images

28 Sep 2018Riddhish BhalodiaShireen Y. ElhabianLadislav KavanRoss T. Whitaker

Statistical shape modeling is an important tool to characterize variation in anatomical morphology. Typical shapes of interest are measured using 3D imaging and a subsequent pipeline of registration, segmentation, and some extraction of shape features or projections onto some lower-dimensional shape space, which facilitates subsequent statistical analysis... (read more)

PDF Abstract


No code implementations yet. Submit your code now

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper