WASET
	@article{(Open Science Index):https://publications.waset.org/pdf/6982,
	  title     = {Lung Nodule Detection in CT Scans },
	  author    = {M. Antonelli and  G. Frosini and  B. Lazzerini and  F. Marcelloni },
	  country	= {},
	  institution	= {},
	  abstract     = {In this paper we describe a computer-aided diagnosis (CAD) system for automated detection of pulmonary nodules in computed-tomography (CT) images. After extracting the pulmonary parenchyma using a combination of image processing techniques, a region growing method is applied to detect nodules based on 3D geometric features. We applied the CAD system to CT scans collected in a screening program for lung cancer detection. Each scan consists of a sequence of about 300 slices stored in DICOM (Digital Imaging and Communications in Medicine) format. All malignant nodules were detected and a low false-positive detection rate was achieved. },
	    journal   = {International Journal of Medical and Health Sciences},
	  volume    = {1},
	  number    = {1},
	  year      = {2007},
	  pages     = {24 - 27},
	  ee        = {https://publications.waset.org/pdf/6982},
	  url   	= {https://publications.waset.org/vol/1},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 1, 2007},
	}