



@conference {2503,
	title = {Detection and validation of lung field contours on chest radiographs},
	booktitle = {Proceedings of the IASTED International Conference on Biomedical EngineeringProc. IASTED Internat. Conf. Biomed. Eng.},
	series = {Proceedings of the IASTED International Conference on Biomedical Engineering},
	year = {2003},
	note = {Conference code: 63063Export Date: 21 November 2012Source: ScopusLanguage of Original Document: EnglishCorrespondence Address: Mendon{\c c}a, A.M.; INEB, Inst. de Engenharia Biom{\'e}dica, Campus da FEUP, Rua Dr. Roberto Frias, s/n, 4200-465 Porto, Portugal; email: amendon@fe.up.ptReferences: Tsujii, O., Freedman, M., Mun, S., Automated segmentation of anatomic regions in chest radiographs using an adaptive-sized hybrid neural network (1998) Medical Physics, 25, pp. 998-1007;Armato III, S., Giger, M., MacMahon, H., Computerized detection of abnormal asymetry in digital lateral chest radiographs (1994) Medical Physics, 21, pp. 1761-1768; 
Armato III, S., Giger, M., Ashizawa, K., MacMahon, H., Automated lung segmentation in digital lateral chest radiographs (1998) Medical Physics, 25, pp. 1507-1520; 
Carrascal, F., Carreira, J., Souto, M., Automatic calculation of total lung capacity from automatically traced lung boundaries in posterior-anterior and lateral digital chest radiographs (1998) Medical Physics, 25, pp. 1118-1131; 
Ginneken, B., Romeny, B., Automatic segmentation of lung fields in chest radiographs (2000) Medical Physics, 27, pp. 2445-2455; 
Li, L., Zheng, Y., Kallergi, M., Clark, R., Improved method for automatic identification of lung regions on chest radiographs (2001) Academic Radiology, 8, pp. 629-638; 
Monteiro, M., Mendon{\c c}a, A.M., Campilho, A., Lung field detection on chest radiographs (2002) Proceedings of VIIP02, IASTED International Conference on Visualization, Imaging and Image Processing, pp. 367-372. , J. Villanueva (ed): Spain
Sponsors: IASTED},
	month = {2003///},
	pages = {183 - 188},
	address = {Salzburg},
	abstract = {The purpose of the research herein presented is the automatic detection of lung boundaries in posterior-anterior digital chest radiographs. The precise location of the two lungs is important in a computer-aided diagnosis system as it allows the reduction of the region under analysis, decreasing the computation time and facilitating data compression. Furthermore, it allows the delimitation of the search area, easing the selective tuning of the abnormalities detection algorithms. The results produced by the automatic method were validated by comparison with manual contours traced by an experienced radiologist. For this particular purpose, two programs with friendly interfaces were developed. The achieved comparison results demonstrate the good performance of the automatic method.},
	keywords = {Algorithms, automation, Biological organs, Chest radiographs, Computational time, Computer aided diagnosis, Computer-aided diagnosis, Data compression, Image analysis, Medical image processing, Medical imaging, Radiography, Regions of interest (ROI)},
	isbn = {0889863539 (ISBN)},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-2642575173\&partnerID=40\&md5=83abd9849c03da498665141b65efa36c},
	author = {Mendon{\c c}a, A.M. and Alves Da Silva, J. and Campilho, A.},
	editor = {Hamza M.H.}
}
