Ground glass opacity detection and segmentation using CT images: an image statistics framework-Reference-Cited by-同舟云学术

Ground glass opacity detection and segmentation using CT images: an image statistics framework

Published:2022-04-13 Issue:9 Volume:16 Page:2432-2445
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Banday S.A.¹^ORCID,Nahvi Rafia²,Mir A.H.²,Khan S.³,AlGhamdi Ahmad Saeed⁴,Alshamrani Sultan S.⁴^ORCID

Affiliation:

1. Department of Electronics & Communication Engineering Islamic University of Science & Technology Awantipora India

2. Department of Electronics & Communication Engineering NIT Srinagar India

3. School of Mathematics and Computer Science University of Wolverhampton United Kingdom

4. Department of Computer Engineering, College of Computer and Information Technology Taif University Saudi Arabia Saudi Arabia

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/ipr2.12498

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2. Recent progress in computer-aided diagnosis of lung nodules on thin-section CT

3. Immunopathobiology of chronic lung disease

4. Segmentation of small ground glass opacity pulmonary nodules based on Markov random field energy and Bayesian probability difference

5. Liu W. Liua X. Luo X. Wang M. Zheng G. Han G.:PiaNet: A pyramid input augmented convolutional neural network for GGO detection in 3D lung CT scans. arXiv:2009.05267 (2020)

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