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Exploiting unsupervised and supervised classification for segmentation of the pathological lung in CT

P Korfiatis, C Kalogeropoulou, D Daoussis, T Petsas, A Adonopoulos, L Costaridou
2009 Journal of Instrumentation  
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]

André Mouton, Richard D. Pitcher, Tania S. Douglas
2010 Lecture Notes in Computer Science  
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

Tomas Plankis, Algimantas Juozapavičius, Eglė Stašienė, Vytautas Usonis
2017 Nonlinear Analysis: Modelling and Control  
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  
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

Barbaros Selnur Erdal, Elliott D. Crouser, Vedat Yildiz, Mark A. King, Andrew T. Patterson, Michael V. Knopp, Bradley D. Clymer
2012 Chest  
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

Chunli Qin, Demin Yao, Yonghong Shi, Zhijian Song
2018 BioMedical Engineering OnLine  
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

Nicholas D Weatherley, James A Eaden, Neil J Stewart, Brian J Bartholmai, Andrew J Swift, Stephen Mark Bianchi, Jim M Wild
2019 Thorax  
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

Chia-Hao Liang, Yung-Chi Liu, Yung-Liang Wan, Chun-Ho Yun, Wen-Jui Wu, Rafael López-González, Wei-Ming Huang
2021 Cancers  
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

B. Van Ginneken, B.M. Ter Haar Romeny, M.A. Viergever
2001 IEEE Transactions on Medical Imaging  
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

Ting Pang, Shaoyong Guo, Xinwang Zhang, Lijie Zhao
2019 BioMed Research International  
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

Sang Ok Park, Joon Beom Seo, Namkug Kim, Seong Hoon Park, Young Kyung Lee, Bum-Woo Park, Yu Sub Sung, Youngjoo Lee, Jeongjin Lee, Suk-Ho Kang
2009 Korean Journal of Radiology  
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

Ivan O. Rosas, Jianhua Yao, Nilo A. Avila, Catherine K. Chow, William A. Gahl, Bernadette R. Gochuico
2011 Chest  
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

Sang Ok Park, Joon Beom Seo, Namkug Kim, Young Kyung Lee, Jeongjin Lee, Dong Soon Kim
2011 Korean Journal of Radiology  
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

Jonghyuck Lim, Namkug Kim, Joon Beom Seo, Young Kyung Lee, Youngjoo Lee, Suk-Ho Kang
2011 Journal of digital imaging  
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]

Janine Schniering, Malgorzata Anna Maciukiewicz, Hubert Gabrys, Matthias Brunner, Christian Bluethgen, Chantal Meier, Sophie Braga-Lagache, Anne-Christine Uldry, Manfred Heller, Oliver Distler, Matthias Guckenberger, Håvard Fretheim (+5 others)
2020 medRxiv   pre-print
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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