TY - GEN
T1 - Cell extraction from sputum images for early lung cancer detection
AU - Donner, Christian
AU - Werghi, Naoufel
AU - Taher, Fatma
AU - Al-Ahmad, Hussain
PY - 2012
Y1 - 2012
N2 - The context of this work is the design of Computer-Aided Design system for the early detection of lung cancer using digital sputum images. This process requires the detection of the sputum cell region in the sputum image characterized by a cluttered background. In this paper we address this problem using two different methods, namely, a Rule-based method, and Bayesian classification. We describe the two methods and we compare their performances in terms of their behaviors with respect to color representation and color quantization.
AB - The context of this work is the design of Computer-Aided Design system for the early detection of lung cancer using digital sputum images. This process requires the detection of the sputum cell region in the sputum image characterized by a cluttered background. In this paper we address this problem using two different methods, namely, a Rule-based method, and Bayesian classification. We describe the two methods and we compare their performances in terms of their behaviors with respect to color representation and color quantization.
UR - http://www.scopus.com/inward/record.url?scp=84861518845&partnerID=8YFLogxK
U2 - 10.1109/MELCON.2012.6196478
DO - 10.1109/MELCON.2012.6196478
M3 - Conference contribution
AN - SCOPUS:84861518845
SN - 9781467307826
T3 - Proceedings of the Mediterranean Electrotechnical Conference - MELECON
SP - 485
EP - 488
BT - 2012 16th IEEE Mediterranean Electrotechnical Conference, MELECON 2012
T2 - 2012 16th IEEE Mediterranean Electrotechnical Conference, MELECON 2012
Y2 - 25 March 2012 through 28 March 2012
ER -
