Type:
Educational Exhibit
Keywords:
Artificial Intelligence, CT, MR, Computer Applications-General, Segmentation, Technology assessment, Education and training
Authors:
P. Gray, S. O'Hanlon, A. Gupta; WA/AU
DOI:
10.26044/ranzcr2021/R-0345
Conclusion
Examples
The following table is an alphabetical list of the various code/coding structure/software the authors found from study methologies when they performed a literature review concerning the topic of automatic segmentation in radiology.
The following are examples of segmentation software used on a single, randomly selected, open-source CT abdomen. Authors uploaded the image and used semi-automatic (or automatic where available) methods to obtain a segmentation of body composition. They are intended to demonstrate user interface and not accuracy of segmentation (as it is highly likely with further time and refinement all segmentations could be improved from what is shown here).