Abstract
A completely automated algorithm is presented which is capable of identifying both the right- and left-lung fields on digitized chest radiographic images. The algorithm is tested on a sample of 802 chest images against lung fields drawn by a human observer. The average accuracies are found to be 0.957±0.003 and 0.960±0.003 for right- and left-lung regions, respectively. To put them into perspective, the results are compared to several other simple segmentation techniques. These include a comparison of two sets of lung fields drawn by the human observer at different times which yielded accuracies of 0.967±0.005 and 0.967±0.004 for right- and left-lung regions, respectively.
Original language | English (US) |
---|---|
Pages (from-to) | 183-192 |
Number of pages | 10 |
Journal | Medical Physics |
Volume | 22 |
Issue number | 2 |
DOIs | |
State | Published - 1995 |
ASJC Scopus subject areas
- Biophysics