scholarly journals Lung Field Segmentation in Digital Postero-Anterior Chest Radiographs

2005 ◽  
pp. 736-745 ◽  
Author(s):  
Paola Campadelli ◽  
Elena Casiraghi
Keyword(s):  
Chest Radiographs ◽  
Lung Field ◽  
Lung Field Segmentation

Lung Field Segmentation in Chest Radiographs From Boundary Maps by a Structured Edge Detector

2018 ◽  
Vol 22 (3) ◽  
pp. 842-851 ◽  
Author(s):  
Wei Yang ◽  
Yunbi Liu ◽  
Liyan Lin ◽  
Zhaoqiang Yun ◽  
Zhentai Lu ◽  
...  
Keyword(s):  
Chest Radiographs ◽  
Lung Field ◽  
Edge Detector ◽  
Lung Field Segmentation

scholarly journals A Generic Approach to Lung Field Segmentation From Chest Radiographs Using Deep Space and Shape Learning

2020 ◽  
Vol 67 (4) ◽  
pp. 1206-1220 ◽  
Author(s):  
Awais Mansoor ◽  
Juan J. Cerrolaza ◽  
Geovanny Perez ◽  
Elijah Biggs ◽  
Kazunori Okada ◽  
...  
Keyword(s):  
Chest Radiographs ◽  
Lung Field ◽  
Deep Space ◽  
Shape Learning ◽  
Lung Field Segmentation

Automatic Lung Field Segmentation in X-ray Radiographs Using Statistical Shape and Appearance Models

2016 ◽  
Vol 6 (2) ◽  
pp. 338-348 ◽  
Author(s):  
Xuechen Li ◽  
Suhuai Luo ◽  
Qingmao Hu ◽  
Jiaming Li ◽  
Dadong Wang ◽  
...  
Keyword(s):  
Lung Field ◽  
X Ray ◽  
Statistical Shape ◽  
Appearance Models ◽  
Lung Field Segmentation

Segmenting Lung Fields in CT Image Using Legendre Moments and Active Contour

2012 ◽  
Vol 433-440 ◽  
pp. 3564-3569
Author(s):  
Jun Lai ◽  
Ke Xu
Keyword(s):  
Active Contour ◽  
Pulmonary Nodules ◽  
Lung Field ◽  
Segmentation Method ◽  
Hounsfield Units ◽  
Lung Segment ◽  
Fixed Reference ◽  
Legendre Moments ◽  
Ct Slices ◽  
Lung Field Segmentation

Conventional methods that perform lung segment -ation in CT slices rely on a large contrast in hounsfield units between the lung and surrounding tissues. However, the lung fields are affected by high density pathologies, and they are discontinuities in the pixel intensities, the traditional segment- ation methods can’t get the good results. Here, we present a new segmentation method of the active contour, which is constraining with respect to a set of fixed reference shapes of lung fields. This approach is based on the shapes descriptors by the legendre moments computed from the shape regions, and it can be used in some complex lung field segmentation, especially suitable for the segmentation of lung field with the juxta-pleural pulmonary nodules. Experiments illustrate that the proposed method is able to segment the lung fields in the CT images successfully.

Hierarchical Lung Field Segmentation With Joint Shape and Appearance Sparse Learning

2014 ◽  
Vol 33 (9) ◽  
pp. 1761-1780 ◽  
Author(s):  
Yeqin Shao ◽  
Yaozong Gao ◽  
Yanrong Guo ◽  
Yonghong Shi ◽  
Xin Yang ◽  
...  
Keyword(s):  
Sparse Learning ◽  
Lung Field ◽  
Joint Shape ◽  
Lung Field Segmentation
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