Spline curve deformation model with prior shapes for identifying adhesion boundaries between large lung tumors and tissues around lungs in CT images-Reference-Cited by-同舟云学术

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Spline curve deformation model with prior shapes for identifying adhesion boundaries between large lung tumors and tissues around lungs in CT images

Published:2020-01-28 Issue:3 Volume:47 Page:1011-1020
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Zhang Xin¹,Wang Jie¹,Yang Ying²,Wang Bing³,Gu Lixu⁴

Affiliation:

1. College of Electronic Information Engineering Hebei University Hebei Baoding 071000 China

2. Hebei University Affiliated Hospital Hebei Baoding 071000 China

3. College of Mathematics and Information Science Hebei University Hebei Baoding 071000 China

4. School of Biomedical Engineering Shanghai Jiao Tong University Shanghai 200000 China

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.13998

Reference34 articles.

1. Quantitative imaging: Correlating image features with the segmentation accuracy of PET based tumor contours in the lung

2. Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge

3. Quantitative CT analysis of pulmonary nodules for lung adenocarcinoma risk classification based on an exponential weighted grey scale angular density distribution feature

4. A novel approach to CAD system for the detection of lung nodules in CT images

5. Segmentation of lung lesions on CT scans using watershed, active contours, and Markov random field

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