Automatic segmentation of lungs in SPECT images using active shape model trained by meshes delineated in CT images

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Summary

A fully automated method for segmentation of 3D SPECT ventilation and perfusion images using the Active Shape Model to generate accurate anatomic results in SPECT images with functional information and thus unclear borders.

Type
article
Published
2016-08-01
Cited by
3
References
11

Keywords

Segmentation, Artificial intelligence, Sørensen–Dice coefficient, Computer science, Computer vision

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