



@book {2464,
	title = {Detection of Rib Borders on X-ray Chest Radiographs},
	series = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)Lect. Notes Comput. Sci.},
	volume = {3212},
	year = {2004},
	note = {Cited By (since 1996): 1Export Date: 21 November 2012Source: ScopusLanguage of Original Document: EnglishCorrespondence Address: INEB - Instituto de Engenharia Biomedica, Laborat{\'o}ries de Sinai, Imagem Biom{\'e}dicaPortugalReferences: Volgelsang, F., Weiler, F., Dahmen, J., Kilbinger, M., Wein, B., G{\"u}nther, R.W., (1998) Detection and Compensation of Rib Structures in Chest Radiographs for Diagnose Assistance, Proceedings of SPIE, 3338, pp. 774-785;Park, M., Jin, J.S., Wilson, L.S., Detection and labeling ribs on expiration chest radiographs (2003) The Phisics of Medical Imaging Conference, SPIE, pp. 1021-1031. , 15-20 Feb; 
Ginneken, B., Romeny, Bart, M.H., Automatic delineation of ribs in frontal chest radiographs (2000) Medical Imaging 2000:Image Processing, Proceedings of SPIE, 3979, pp. 825-836; 
Monteiro, M., Mendon{\c c}a, A.M., Campilho, A., Lung field detection on chest radiographs (2002) Proceedings of VIIP02, pp. 367-372. , IASTED International Conference on Visualization, Imaging and Image Processing, Spain; 
Mendon{\c c}a, A.M., Suva, J., Campilho, A., Automatic delimitation of lung fields on chest radiographs (2004) Proceeding of ISBI04, IEEE International Symposium on Biomedical Imaging, , Arlington, USA; 
Otsu, N., A threshold selection method from gray-level histograms (1979) IEEE Transactions on Systems, Man, and Cybernetics, 9 (1), pp. 62-66
},
	month = {2004///},
	pages = {108 - 115},
	abstract = {The purpose of the research herein presented is the automatic detection of the rib borders in posterior-anterior (PA) digital chest radiographs. In a computer-aided diagnosis system, the precise location of the ribs is important as it allows reducing the false positive in the detection of abnormalities such as nodules, rib lesions and lung lesions. We adopted an edge based approach aiming at detecting the lower border of each rib. For this purpose, the rib geometric model is described as a parabola. For each rib, the upper limit is obtained using the position of the corresponding lower border. {\textcopyright} Springer-Verlag 2004.},
	isbn = {03029743 (ISSN)},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-35048903160\&partnerID=40\&md5=8bc25ba1f1b611ae05e55a3597ccdef2},
	author = {Moreira, R. and Mendon{\c c}a, A.M. and Campilho, A.}
}
