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ICPR
2010
IEEE
13 years 9 months ago
Data-Driven Lung Nodule Models for Robust Nodule Detection in Chest CT
The quality of the lung nodule models determines the success of lung nodule detection. This paper describes aspects of our data-driven approach for modeling lung nodules using the...
Amal Farag, James Graham, Aly A. Farag
ICIP
2010
IEEE
13 years 8 months ago
Statistical modeling of the lung nodules in low dose computed tomography scans of the chest
This work presents a novel approach in automatic detection of the lung nodules and is compared with respect to parametric nodule models in terms of sensitivity and specificity. A ...
Amal A. Farag, James Graham, Salwa Elshazly, Aly F...
ICIP
2010
IEEE
13 years 8 months ago
Robust segmentation of lung tissue in chest CT scanning
This paper deals with segmentation of the lung tissues from low dose CT (LDCT) scans of the chest. Goal is correct segmentation as well as maintaining the details of the lung regi...
Amal A. Farag, James Graham, Aly Farag
ICPR
2002
IEEE
14 years 3 months ago
Recognition of Lung Nodules from X-ray CT Images Using 3D Markov Random Field Models
In this paper, we propose a new recognition method of lung nodules from X-ray CT images using 3D Markov random field(MRF) models. Pathological shadow candidates are detected by a...
Hotaka Takizawa, Shinji Yamamoto, Tohru Matsumoto,...
IPMI
2007
Springer
14 years 11 months ago
Lung Nodule Detection Via Bayesian Voxel Labeling
This paper describes a system for detecting pulmonary nodules in CT images. It aims to label individual image voxels in accordance to one of a number of anatomical (pulmonary vesse...
Paulo R. S. Mendonça, Rahul Bhotika, Fei Zh...