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

Abstract 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) im...

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Bibliographic Details
Main Authors: Yongfeng Gao, Jiaxing Tan, Zhengrong Liang, Lihong Li, Yumei Huo
Format: Article
Language:English
Published: SpringerOpen 2019-11-01
Series:Visual Computing for Industry, Biomedicine, and Art
Subjects:
Computer-aided detection
Computed tomography
Deep learning
Lung
Sinogram
Online Access:http://link.springer.com/article/10.1186/s42492-019-0029-2

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http://link.springer.com/article/10.1186/s42492-019-0029-2

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