Fusing Shape Information in Lung Segmentation in Chest Radiographs
Computing Sciences and Computer Engineering
This paper presents an algorithm for the segmentation of lung fields by fusing shape information priors into intensity-based thresholding in an iterative framework. The main contribution is to maximize information utilization by effectively combining intensity information with shape priors. Experimental results performed on publicly available database demonstrate the effectiveness of the algorithm in comparison with other algorithms.
Image Analysis and Recognition
(2010). Fusing Shape Information in Lung Segmentation in Chest Radiographs. Image Analysis and Recognition, 70-78.
Available at: https://aquila.usm.edu/fac_pubs/21523