- Generic Medical Image
- 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.)
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 .
For questions about this algorithm, please contact Colin Jacobs.
Validation and Performance
Uses and Directions
This algorithm was developed for research purposes only.
Common Error Messages
Information on this algorithm has been provided by the Algorithm Editors, following the Model Facts labels guidelines from Sendak, M.P., Gao, M., Brajer, N. et al. Presenting machine learning model information to clinical end users with model facts labels. npj Digit. Med. 3, 41 (2020). 10.1038/s41746-020-0253-3