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Exploiting unsupervised and supervised classification for segmentation of the pathological lung in CT
2009
Journal of Instrumentation
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Delineation of lung fields in presence of diffuse lung diseases (DLPDs), such as interstitial pneumonias (IP), challenges segmentation algorithms. ...
Subsequently, a support vector machine classifier was trained to distinguish between the above two classes of tissue, using textural feature of gray scale and wavelet domains. 17 patients diagnosed with ...
Acknowledgments This work is supported by the Caratheodory Programme (C.180) of the University of Patras ...
doi:10.1088/1748-0221/4/07/p07013
fatcat:ecppxhts6zc33j7kdjquoswmde
Computer-Aided Detection of Pulmonary Pathology in Pediatric Chest Radiographs
[chapter]
2010
Lecture Notes in Computer Science
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The method comprises four phases suggested in the literature: lung field segmentation, lung field subdivision, feature extraction and classification. ...
The output of the system is a probability map for each image, giving an indication of the degree of abnormality of every region in the lung fields; the maps may be used as a visual tool for identifying ...
We thank Dr Rupesh Daya for assistance with data collection, and Dr Bram van Ginneken for guidance on algorithm implementation. ...
doi:10.1007/978-3-642-15711-0_77
fatcat:heag45orsbcfbfm5cdnem2ggti
Computer-aided detection of interstitial lung diseases: A texture approach
2017
Nonlinear Analysis: Modelling and Control
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We have developed the flexible scheme for computer-aided detection (CAD) of interstitial lung diseases on chest radiographs. ...
These schemes enable us to perform diagnostics in the broad circumstances of pneumonia and other interstitial lung diseases. ...
COP is also called bronchiolitis obliterans with organizing pneumonia (BOOP). • Acute interstitial pneumonitis: A sudden, severe interstitial lung disease often requiring life support. • Desquamative interstitial ...
doi:10.15388/na.2017.3.8
fatcat:2jw42tvmljb63bs6m7b4heuaga
Segmentation And Analysis Of Interstitial Lung Disease Pattern In HRCT Images And Disease Classification By K- Means
2017
International Journal of Recent Trends in Engineering and Research
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A public database that consists of HRTC images taken from patients affected with Interstitial Lung Diseases (ILDs) is used for the evaluation. The K-means algorithm is used here to find the clusters. ...
automated segmentation of pathological bearing region is the first step towards the development of lung CAD. ...
Interstitial Lung Disease (ILD): Interstitial Lung Disease is a general category that includes many different lung conditions. ...
doi:10.23883/ijrter.2017.3148.zvbb7
fatcat:d24dakke3feubpuspwiaajpsda
Quantitative Computerized Two-Point Correlation Analysis of Lung CT Scans Correlates With Pulmonary Function in Pulmonary Sarcoidosis
2012
Chest
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CHEST 2012; 142(6):1589-1597 Abbreviations: D lco 5 diffusing capacity of the lung for carbon monoxide; ILD 5 interstitial lung disease; LTS 5 lung texture score; NIH 5 National Institutes of Health; PFT ...
: Chest CT scans are commonly used to clinically assess disease severity in patients presenting with pulmonary sarcoidosis. ...
DLCO 5 diffusing capacity of the lung for carbon monoxide; LTS 5 lung texture score; TLC 5 total lung capacity. ...
doi:10.1378/chest.11-2027
pmid:22628487
pmcid:PMC4511386
fatcat:fjn7tlvov5dknjfgokry4yua2q
Computer-aided detection in chest radiography based on artificial intelligence: a survey
2018
BioMedical Engineering OnLine
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Availability of data and materials Not applicable.
Consent for publication Not applicable.
Ethics approval and consent to participate Not applicable. ...
Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. ...
Interstitial lung disease (ILD) is a group of basic pathological lesions with diffuse pulmonary parenchyma, alveolar inflammation, and interstitial fibrosis, including interstitial pulmonary edema, allergic ...
doi:10.1186/s12938-018-0544-y
pmid:30134902
fatcat:moshts5kpjd4hpejcs2irwf6eq
Experimental and quantitative imaging techniques in interstitial lung disease
2019
Thorax
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Interstitial lung diseases (ILDs) are a heterogeneous group of conditions, with a wide and complex variety of imaging features. ...
Recent studies have explored the capability of texture-based lung parenchymal analysis in accurately quantifying several ILD features. ...
Acknowledgements The authors would like to acknowledge the TRISTAN consortia publication board for review and approval of this manuscript ( www. imitristan. eu). ...
doi:10.1136/thoraxjnl-2018-211779
pmid:30886067
pmcid:PMC6585263
fatcat:ncfqqhtogzhgleenybn7whqca4
Quantification of Cancer-Developing Idiopathic Pulmonary Fibrosis Using Whole-Lung Texture Analysis of HRCT Images
2021
Cancers
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There is only limited evidence of the use of texture-based radiomics features from high-resolution computed tomography (HRCT) images for risk stratification of IPF patients for LC. ...
Non-contrast chest CT for fibrotic score calculation and determination of three dimensional measures of whole-lung texture and emphysema were performed using a promising deep learning imaging platform. ...
However, no previous reports used whole-lung texture analysis for risk stratification of IPF patients for LC. ...
doi:10.3390/cancers13225600
pmid:34830759
pmcid:PMC8615829
fatcat:n3pywqfubragxbbhnoyx56cpka
Computer-aided diagnosis in chest radiography: a survey
2001
IEEE Transactions on Medical Imaging
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The purpose of this survey is to categorize and briefly review the literature on computer analysis of chest images, which comprises over 150 papers published in the last 30 years. ...
This explains the continued interest in computer-aided diagnosis for chest radiography. ...
, which was supported by the Dutch Ministry of Economic Affairs through the IOP Image Processing program. ...
doi:10.1109/42.974918
pmid:11811823
fatcat:5msbcqvs6reabpd6nodjpxp4hi
Automatic Lung Segmentation Based on Texture and Deep Features of HRCT Images with Interstitial Lung Disease
2019
BioMed Research International
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The training performance shows the effectiveness for a combination of texture and deep radiomics features in lung segmentation. ...
Lung segmentation in high-resolution computed tomography (HRCT) images is necessary before the computer-aided diagnosis (CAD) of interstitial lung disease (ILD). ...
Conflicts of Interest e authors declare that there are no conflicts of interest regarding the publication of this paper. ...
doi:10.1155/2019/2045432
pmid:31871932
pmcid:PMC6907046
fatcat:nuddr6ccqbfqrnqqpyy2k7jdoi
Feasibility of Automated Quantification of Regional Disease Patterns Depicted on High-Resolution Computed Tomography in Patients with Various Diffuse Lung Diseases
2009
Korean Journal of Radiology
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Objective: This study was designed to develop an automated system for quantification of various regional disease patterns of diffuse lung diseases as depicted on high-resolution computed tomography (HRCT ...
The ROIs were used to train the automated classification system based on the use of a Support Vector Machine classifier and 37 features of texture and shape. ...
Considering this aspect, this system may be used for objective and reproducible assessment of regional disease severity and interval change in cases of various diffuse lung diseases. ...
doi:10.3348/kjr.2009.10.5.455
pmid:19721830
pmcid:PMC2731863
fatcat:4yuccwhdijfo3irqakmiptyrl4
Automated Quantification of High-Resolution CT Scan Findings in Individuals at Risk for Pulmonary Fibrosis
2011
Chest
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Acknowledgments Author contributions: Dr Gochuico had full access to the data and is responsible for the integrity of the data analysis. ...
Drs Rosas, Avila, Chow, Gahl, and Gochuico have reported to CHEST that no potential confl icts of interest exist with any companies/organizations whose products or services may be discussed in this article ...
A multidimensional feature vector composed of 25 different texture features was computed and used to differentiate and group each texture block. ...
doi:10.1378/chest.10-2545
pmid:21622544
pmcid:PMC3231958
fatcat:mrcldeaeefe2xoj3t5cipmch3e
Comparison of Usual Interstitial Pneumonia and Nonspecific Interstitial Pneumonia: Quantification of Disease Severity and Discrimination between Two Diseases on HRCT Using a Texture-Based Automated System
2011
Korean Journal of Radiology
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texture and shape features. ...
Conclusion: The automated quantification system of regional HRCT patterns can be useful in the assessment of disease severity and may provide reliable agreement with the radiologists' results. ...
INTRODUCTION High-resolution CT (HRCT) is known to be useful for determining the extent of diffuse interstitial lung disease (DILD), especially idiopathic interstitial pneumonias (1) (2) (3) . ...
doi:10.3348/kjr.2011.12.3.297
pmid:21603289
pmcid:PMC3088847
fatcat:5abntgq2yzd7rpfn6g2ueiykqu
Regional Context-Sensitive Support Vector Machine Classifier to Improve Automated Identification of Regional Patterns of Diffuse Interstitial Lung Disease
2011
Journal of digital imaging
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We propose the use of a context-sensitive support vector machine (csSVM) to enhance the performance of a conventional support vector machine (SVM) for identifying diffuse interstitial lung disease (DILD ...
Sequential forward-selection was used to select the relevant features. To validate our results, we used 900 ROIs with fivefold cross-validation and 84 whole lung images categorized by a radiologist. ...
Uppaluri et al. developed systems for classifying emphysema and diffuse interstitial lung disease (DILD) using 2-D textural analysis [1, 2] . ...
doi:10.1007/s10278-011-9367-0
pmid:21311944
pmcid:PMC3222551
fatcat:zq7rbltjhfdlnjneljtsot6rdu
Resolving phenotypic and prognostic differences in interstitial lung disease related to systemic sclerosis by computed tomography-based radiomics
[article]
2020
medRxiv
pre-print
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Patients with systemic sclerosis (SSc), a multi-organ autoimmune disorder, have a similarly poor prognosis (10-year survival of 66%), due to interstitial lung disease (ILD) as the primary cause of death ...
Radiomic features are quantitative data calculated from routine medical images and have shown great potential for disease phenotyping and risk stratification in cancer. ...
Microscopic image recording was performed with equipment maintained by the Center for Microscopy and Image Analysis, University of Zurich. We acknowledge Maria Comazzi (Center of Experimental ...
doi:10.1101/2020.06.09.20124800
fatcat:fc4pil2n5nfy5jaoaqheu5eox4
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