Evaluation of an automated lung segmentation method using an iterative thresholding and processing technique

Conclusion: An iterative thresholding method for automatic lung segmentation has been described, capable of producing lung VOIs with DSCs comparable to the results of atlas segmentation with multiple best matches. This permits individuals without access to atlas segmentation methods to accurately and automatically generate lung VOIs. Reference: Pirozzi S, Horvot M, Piper J, Nelson AS. Atlas-based Segmentation: Evaluation of a Multi-Atlas Approach for Lung Cancer. Med Phys 2012; 39:3677.

Source: Journal of Nuclear Medicine - May 23, 2018 Category: Nuclear Medicine Authors: Mirando, D., Saiprasad, M., Pirozzi, S., Kruzer, A., Nelson, A. Tags: Data Analysis & amp; Management Posters Source Type: research