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» Lung nodules detection and classification
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ICANNGA
2007
Springer
138views Algorithms» more  ICANNGA 2007»
14 years 1 months ago
Rib Suppression for Enhancing Frontal Chest Radiographs Using Independent Component Analysis
Chest radiographs play an important role in the diagnosis of lung cancer. Detection of pulmonary nodules in chest radiographs forms the basis of early detection. Due to its sparse ...
Bilal Ahmed, Tahir Rasheed, Mohammad A. U. Khan, S...
IPMI
2007
Springer
14 years 7 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...
ICIAR
2011
Springer
12 years 10 months ago
A Texture-Based Probabilistic Approach for Lung Nodule Segmentation
Producing consistent segmentations of lung nodules in CT scans is a persistent problem of image processing algorithms. Many hard-segmentation approaches are proposed in the literat...
Olga Zinoveva, Dmitry Zinovev, Stephen A. Siena, D...
ICASSP
2007
IEEE
14 years 1 months ago
False Positive Reduction in Lung GGO Nodule Detection with 3D Volume Shape Descriptor
Lung nodule detection, especially ground glass opacity (GGO) detection, in helical computed tomography (CT) images is a challenging Computer-Aided Detection (CAD) task due to the ...
Ming Yang, Senthil Periaswamy, Ying Wu
CVPR
2010
IEEE
13 years 11 months ago
Stratified Learning of Local Anatomical Context for Lung Nodules in CT Images
The automatic detection of lung nodules attached to other pulmonary structures is a useful yet challenging task in lung CAD systems. In this paper, we propose a stratified statist...
Dijia Wu, Le Lu, Jinbo Bi, Yoshihisa Shinagawa, Ki...