Improved computer-aided detection of pulmonary nodules via deep learning in the sinogram domain

Improved computer-aided detection of pulmonary nodules via deep learning in the sinogram domain

Computer aided detection (CADe) of pulmonary nodules plays an important role in assisting radiologists’ diagnosis and alleviating interpretation burden for lung cancer. Current CADe systems, aiming at simulating radiologists’ examination procedure, are built upon computer tomography (CT) images with...

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Bibliographic Details
Main Authors:	Gao, Y. (Author), Huo, Y. (Author), Li, L. (Author), Liang, Z. (Author), Tan, J. (Author)
Format:	Article
Language:	English
Published:	Springer Science and Business Media B.V. 2019
Subjects:	Areas under the curves Biological organs Computed tomography Computer aided detection Computer aided detection systems Computer aided diagnosis Computer aided instruction Computer tomography images Computer-aided detection Computerized tomography 'current Deep learning Feature extraction Image enhancement Lung Lung Cancer Neural networks Pulmonary nodules Sinogram Sinogram domain Sinograms
Online Access:	View Fulltext in Publisher

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