Literature DB >> 19964999

Gradient vector flow based active shape model for lung field segmentation in chest radiographs.

Tao Xu1, Mrinal Mandal, Richard Long, Anup Basu.   

Abstract

Accurate lung field segmentation is crucial to computer-aided diagnosis (CAD) of lung diseases such as lung cancer and tuberculosis (TB). In this paper, we propose a modified gradient vector flow based active shape model (GVF-ASM) for lung field extraction from chest radiographs. Experimental results show that the proposed technique provides around 3-5% improvement over the ASM techniques.

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Year:  2009        PMID: 19964999     DOI: 10.1109/IEMBS.2009.5334886

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  4 in total

1.  Automated lung segmentation in digital chest tomosynthesis.

Authors:  Jiahui Wang; James T Dobbins; Qiang Li
Journal:  Med Phys       Date:  2012-02       Impact factor: 4.071

2.  Robust Initialization of Active Shape Models for Lung Segmentation in CT Scans: A Feature-Based Atlas Approach.

Authors:  Gurman Gill; Matthew Toews; Reinhard R Beichel
Journal:  Int J Biomed Imaging       Date:  2014-10-21

3.  Segmentation and classification on chest radiography: a systematic survey.

Authors:  Tarun Agrawal; Prakash Choudhary
Journal:  Vis Comput       Date:  2022-01-08       Impact factor: 2.835

4.  Detection and Severity Scoring of Chronic Obstructive Pulmonary Disease Using Volumetric Analysis of Lung CT Images.

Authors:  Mohammad Parsa Hosseini; Hamid Soltanian-Zadeh; Shahram Akhlaghpoor
Journal:  Iran J Radiol       Date:  2012-03-25       Impact factor: 0.212

  4 in total

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