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Computer-aided Diagnosis of Pulmonary Infections Using Texture Analysis and Support Vector Machine Classification
<span title="">2011</span>
<i title="Elsevier BV">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2dgw6wyfwvb47ow6p4dw5njbrq" style="color: black;">Academic Radiology</a>
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Conclusion-Texture analysis and support vector machine classification can distinguish between areas of abnormality in acute infection and areas of chronic fibrosis, differentiate lesions having consolidative ...
Results-Statistically significant differences in the receiver operator characteristics (ROC) curves for detecting abnormal regions in H1N1 infection were obtained between normal lung and regions of fibrosis ...
James Gill of the New York City Office of Medical Examiner for providing the H1N1 data. We also thank John Bliton for assisting the proofreading and formatting of the manuscript. ...
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Overview: Computational analysis and decision support systems in oncology
<span title="2006-04-01">2006</span>
<i title="Spandidos Publications">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/bn3oiyuxabf5la53plxz5mrcfa" style="color: black;">Oncology Reports</a>
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Computational analysis tools and decision support systems have increased their penetration in the support of clinical processes and management of medical data and knowledge. ...
Applications range from adjunct tools for diagnosis and disease investigation to the treatment and monitoring of therapeutic procedures. As all medical fields, the field of oncology is affected. ...
Design and assessment of classification tools Cochand-Priollet et al compare various classifiers in the discrimination of benign from malignant thyroid lesions (8) . ...
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Evolution of CT Findings and Lung Residue in Patients with COVID-19 Pneumonia: Quantitative Analysis of the Disease with a Computer Automatic Tool
<span title="2021-07-06">2021</span>
<i title="MDPI AG">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/xuwogpw7hnaoljkcejqtymrqsa" style="color: black;">Journal of Personalized Medicine</a>
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All CTs were evaluated by two expert radiologists, in consensus, at the same reading session, using a computer-aided tool for quantification of the pulmonary disease. ...
The parameters obtained using the computer tool included the healthy residual parenchyma, ground glass opacity, consolidation, and total lung volume. ...
Computer tools have recently been proposed for the recognition of lung lesions (from COVID-19) on CT examinations [21] [22] [23] . ...
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AI-Based Detection, Classification and Prediction/Prognosis in Medical Imaging: Towards Radiophenomics
[article]
<span title="2022-01-13">2022</span>
<i >
arXiv
</i>
<span class="release-stage" >pre-print</span>
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<span title="2021-10-20">2021</span>
<span class="release-stage" >pre-print</span>
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2110.10332v1">arXiv:2110.10332v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/tee45r375bg7xmsuctrq4gyi34">fatcat:tee45r375bg7xmsuctrq4gyi34</a> </span>
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<span title="2021-10-28">2021</span>
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<span title="2021-11-01">2021</span>
<span class="release-stage" >pre-print</span>
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Radiomics analysis has the potential to be utilized as a noninvasive technique for the accurate characterization of tumors to improve diagnosis and treatment monitoring. ...
This work reviews AI-based techniques, with a special focus on oncological PET and PET/CT imaging, for different detection, classification, and prediction/prognosis tasks. ...
Acknowledgements This project was in part supported by the Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grant RGPIN-2019-06467, and the Canadian Institutes of Health Research ...
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B-line Detection in Lung Ultrasound Videos: Cartesian vs Polar Representation
[article]
<span title="2021-07-26">2021</span>
<i >
arXiv
</i>
<span class="release-stage" >pre-print</span>
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Lung ultrasound (LUS) imaging is becoming popular in the intensive care units (ICU) for assessing lung abnormalities such as the appearance of B-line artefacts as a result of severe dengue. ...
As a result, we hypothesize that a polar representation may be more adequate for automatic image analysis of these images. ...
Furthermore, attention mechanisms have been used widely for spatial localization of lung lesions particularly in CT and x-ray lung images. ...
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Nonlinear signal processing, spectral, and fractal based stridor auscultation: A machine learning approach
<span title="2021-12-26">2021</span>
<i title="Kuwait Journal of Science">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/7r7osjshkjholmpcusnobdus5e" style="color: black;">Maǧallaẗ Al-Kuwayt li-l-ʿulūm</a>
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The appearance of B and C in the PSD plot of ST is due to the obstructions in the trachea and upper airways caused by lesions. ...
The phase portrait analysis of the time series data of ST and BR gives information about the randomness and the sample entropy of the dynamical system. ...
Based on the signal processing techniques, is becoming a
values of TN, TP, FP and FN from CM, the quantitative and accurate tool for the
statistical parameters of MLT (accuracy, ...
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Sparsity techniques in medical imaging
<span title="">2015</span>
<i title="Elsevier BV">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/4jlnkdml2bdgrfvr7tr6ckaowi" style="color: black;">Computerized Medical Imaging and Graphics</a>
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With the advent of the age for big data and complex structure, sparsity has been an important modeling tool in compressed sensing, machine learning, image processing, neuroscience and statistics. ...
The goal of this special issue is to publish original and high quality papers on innovation research and development in medical imaging and medical image analysis using sparsity techniques. ...
model fMRI data for both classification and regression tasks. ...
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Potential of Computer-Aided Diagnosis to Improve CT Lung Cancer Screening
<span title="">2009</span>
<i title="Institute of Electrical and Electronics Engineers (IEEE)">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/pjmncnm4zfdltlh5rxo2xd62xa" style="color: black;">IEEE Reviews in Biomedical Engineering</a>
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This review will provide insight into the current discussion of the effectiveness of lung cancer screening and assesses the potential of state-of-the-art computer-aided design developments. ...
There is evidence in published reports that computer-aided diagnosis technology may help radiologists alter the benefit-cost calculus of CT sensitivity and specificity in lung cancer screening protocols ...
ACKNOWLEDGMENT The authors would like to thank A. Stein and L. Lamerato for providing important contextual information of CAD technology and valuable discussions. ...
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Towards clinical application of image mining: a systematic review on artificial intelligence and radiomics
<span title="2019-06-18">2019</span>
<i title="Springer Science and Business Media LLC">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/5i3tlebejzfxfoahy2rzxggcz4" style="color: black;">European Journal of Nuclear Medicine and Molecular Imaging</a>
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to become the standard of care tools. ...
The results of the studies are promising but still not mature enough for image mining tools to be implemented in the clinical setting and be widely used. ...
AC conceptualized the study, coordinated the study workflow, and critically reviewed the manuscript. All the authors reviewed the final version of the text. Funding M. ...
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Association between clinical respiratory signs, lung lesions detected by thoracic ultrasonography and growth performance in pre‐weaned dairy calves
<span title="2021-03-25">2021</span>
<i title="Springer Science and Business Media LLC">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/or3pf3vjkrg7bo5kpvcvhhcue4" style="color: black;">Irish Veterinary Journal</a>
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association between clinical respiratory signs and lung lesions detected by TUS, and (iii) assess the effect of BRD on pre-weaning growth. ...
These findings emphasise the importance of using TUS in addition to clinical respiratory scoring of calves for an early and accurate detection of clinical and sub-clinical BRD. ...
Acknowledgements The authors would like to extend their thanks to: the field research Technician, Donall Fahy, the farm staff and under-graduate students for the care and management of the animals at Teagasc ...
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Front Matter: Volume 9785
<span title="2016-08-30">2016</span>
<i title="SPIE">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/xfwg4fmybzazfktmdtzvhcujka" style="color: black;">Medical Imaging 2016: Computer-Aided Diagnosis</a>
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Utilization of CIDs allows articles to be fully citable as soon as they are published online, and connects the same identifier to all online and print versions of the publication. ...
Publication of record for individual papers is online in the SPIE Digital Library. SPIEDigitalLibrary.org Paper Numbering: Proceedings of SPIE follow an e-First publication model. ...
Medical sieve: a cognitive assistant for radiologists and cardiologists 9785 0B Acne image analysis: lesion localization and classification 9785 0C Classification of melanoma lesions using sparse coded ...
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The role of imaging in the detection and management of COVID-19: a review
<span title="2020-04-27">2020</span>
<i title="Institute of Electrical and Electronics Engineers (IEEE)">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/pjmncnm4zfdltlh5rxo2xd62xa" style="color: black;">IEEE Reviews in Biomedical Engineering</a>
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Herein, we review the imaging characteristics and computing models that have been applied for the management of COVID-19. ...
Lung infection or pneumonia is the common complication of COVID-19, and imaging techniques, especially computed tomography (CT), have played an important role in diagnosis and treatment assessment of the ...
Compared with studies using segmented lung lesions for classification, using the whole lung for analysis achieved similar results, which may suggest that segmenting or detecting lung lesions for analysis ...
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Using Statistical Measures and Density Maps Generated From Chest Computed Tomography Scans to Identify and Monitor COVID-19 Cases in Radiation Oncology Rapidly
<span title="2021-08-25">2021</span>
<i title="Cureus, Inc.">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/74mctp3frjfttdv6dx4dzh6lbm" style="color: black;">Cureus</a>
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Density maps allowed for visualization of the temporal evolution of COVID-19 disease. ...
Statistical measures were computed and compared to the threshold levels, and density maps were generated to examine the difference between lungs with and without COVID-19 qualitatively. ...
Acknowledgements Marie-Hélène Tomé received recognition as a 2021 Regeneron STS Scholar for a project submission based on this work. ...
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Molecular Phenotypes of Atherosclerosis: Fingering the Perpetrators
<span title="2004-08-12">2004</span>
<i title="Ovid Technologies (Wolters Kluwer Health)">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ocv5b4js4vdl7ps6ugk4rl6gja" style="color: black;">Arteriosclerosis, Thrombosis and Vascular Biology</a>
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Acknowledgments The author's research is supported by grants from the National Institutes of Health-National Heart, Lung, and Blood Institute HL36049 (MERIT), HL64388, HL62250, HL70128, and the National ...
Aeronautics and Space Administration (National Space Biomedical Research Institute NSBRI-01-102). ...
The unbiased and comprehensive nature of the statistical approach is a major strength of this study and a good example of the appropriate use of microarray analysis as a tool to focus attention on the ...
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A comprehensive algorithm to distinguish between MPLC and IPM in multiple lung tumors patients
<span title="">2020</span>
<i title="AME Publishing Company">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/u5ioqxxruvelzolwnumjlphsfe" style="color: black;">Annals of Translational Medicine</a>
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Herein, for the accurate optimization of therapeutic options, we propose a comprehensive algorithm for multiple lung carcinomas based on a multidisciplinary approach, and investigate the prognosis of patients ...
The final classification consistency was 0.65 and 0.72 compared with the criteria of Martini and Melamed (MM) and the American College of Chest Physicians (ACCP), respectively. ...
With the help of powerful biological analysis tools, we have developed an understanding of the mechanism of various genes involved in tumorigenesis. ...
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