Spleen Segmentation


Logo for Spleen Segmentation

About

Version:
e9694929-e0fd-42af-8fba-318282d55f02
Last updated:
April 4, 2019, 4:42 p.m.
Inputs:
  • Generic Medical Image 
Outputs:
  • Generic Overlay  (An overlay of unknown type. Legacy, please use alternative interfaces.)
  • Results JSON File  (A collection of results of unknown type. Legacy, if possible please use alternative interfaces.)

General information

This algorithm fully automatically performs a volumetric segmentation of the spleen on contrast-enhanced thorax-abdomen CT scans. The underlying algorithm is a 3D U-Net model trained and validated on a large set of contrast-enhanced CT thorax abdomen scans from one academic center in the Netherlands. A large proportion of the training scans came from oncological follow-up and hence contained a wide variety of abnormalities and pathology. The algorithm and its validation is described in this publication in Radiology: Artificial Intelligence .

Contact information

For questions about this algorithm, please contact Colin Jacobs.

Uses and Directions

This algorithm was developed for research purposes only.