A parameterized logarithmic image processing method with Laplacian of Gaussian filtering for lung nodule enhancement in chest radiographs

The enhancement of lung nodules in chest radiographs (CXRs) plays an important role in the manual as well as computer-aided detection (CADe) lung cancer. In this paper, we proposed a parameterized logarithmic image processing (PLIP) method combined with the Laplacian of a Gaussian (LoG) filter to en...

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Bibliographic Details
Published in:	Medical & biological engineering & computing Vol. 54; no. 11; pp. 1793 - 1806
Main Authors:	Chen, Sheng, Yao, Liping, Chen, Bao
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2016 Springer Nature B.V
Subjects:	Adult Aged Algorithms Analysis Biomedical and Life Sciences Biomedical Engineering and Bioengineering Biomedicine Chest Computer Applications Databases as Topic Female Filled plastics Human Physiology Humans Image contrast Image processing Image processing systems Imaging Lung - diagnostic imaging Lung cancer Lungs Male Medical imaging Middle Aged Neural networks Nodules Normal Distribution Original Article Radiographic Image Interpretation, Computer-Assisted Radiographs Radiography Radiography, Thoracic Radiology ROC Curve Studies X-rays Young Adult Chest radiographs (CXRs) Parameterized logarithmic image processing (PLIP) Laplacian of Gaussian (LoG) Lung nodules Image enhancement
ISSN:	0140-0118, 1741-0444, 1741-0444
Online Access:	Get full text
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