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PadChest: A large chest x-ray image dataset with multi-label annotated reports [article]

Aurelia Bustos, Antonio Pertusa, Jose-Maria Salinas, Maria de la Iglesia-Vayá
<span title="2019-02-07">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
To the best of our knowledge, this is one of the largest public chest x-ray database suitable for training supervised models concerning radiographs, and the first to contain radiographic reports in Spanish  ...  We present a labeled large-scale, high resolution chest x-ray dataset for the automated exploration of medical images along with their associated reports.  ...  Marco Domenech from the Radiology Department of the Castellon General Hospital (Spain), for his constructive suggestions and contributions to the hierarchies.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1901.07441v2">arXiv:1901.07441v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/uuhka6akyrhr7orlppbgymxjsy">fatcat:uuhka6akyrhr7orlppbgymxjsy</a> </span>
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Deep convolutional approaches for the analysis of Covid-19 using chest X-Ray images from portable devices [article]

Joaquim de Moura, Lucia Ramos, Placido L. Vidal, Milena Cruz, Laura Abelairas, Eva Castro, Jorge Novo, Marcos Ortega
<span title="2020-06-23">2020</span> <i title="Cold Spring Harbor Laboratory"> biorxiv/medrxiv </i> &nbsp; <span class="release-stage" >pre-print</span>
This work presents novel fully automatic approaches specifically tailored for the classification of chest X-Ray images acquired by portable equipment into 3 different clinical categories: normal, pathological  ...  Hence, as the pandemic of COVID-19 progresses, there will be a greater reliance on the use of portable equipment for the acquisition of chest X-Ray images due to its accessibility, widespread availability  ...  Representative examples of chest X-ray radiographs. 1 st row, chest X-ray radiographs from normal patients. 2 nd row, chest X-ray radiographs from pathological patients without COVID-19 but diagnosed with  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1101/2020.06.18.20134593">doi:10.1101/2020.06.18.20134593</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5fbzt4nnyzafho56leqxynccda">fatcat:5fbzt4nnyzafho56leqxynccda</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210428015030/https://ruc.udc.es/dspace/bitstream/handle/2183/26880/J.de_Moura_2020_Deep_Convolutional_Approaches_for_the_Analysis_of_COVID-19.pdf;jsessionid=7FB9CA7AB6772F816A139A43C3AD608C?sequence=3" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/21/e2/21e267ad97bbf4b4894881d08ca49ed1efe58ac5.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1101/2020.06.18.20134593"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> biorxiv.org </button> </a>

Carbon dioxide tension as a reflection of different respiratory rates and chest x-ray features in children with community acquired pnemonia

Deddy Iskandar, Nastiti Noenoeng Rahajoe, Noenoeng Rahajoe, Imam Boediman
<span title="2010-08-30">2010</span> <i title="Paediatrica Indonesiana - Indonesian Pediatric Society"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/izemh3sj35dkpp2jyv2kjiif2y" style="color: black;">Paediatrica Indonesiana</a> </i> &nbsp;
Group with low PCO2 had significantly lower respiratory rate (P = 0.047), higher blood pH level (P = 0.044), and better chest X-ray features (P = 0.010) on admission compared to group with normal to high  ...  It directly reflects the adequacy of alveolar ventilation and indirectly could reflect the severity of illness.Objective To determine the differences of clinical signs and chest X-ray features in hospitalized  ...  by chest X-ray.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14238/pi50.4.2010.207-13">doi:10.14238/pi50.4.2010.207-13</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hscz2xwaknduffmt7otym7kc3q">fatcat:hscz2xwaknduffmt7otym7kc3q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170923000219/https://paediatricaindonesiana.org/index.php/paediatrica-indonesiana/article/viewFile/1218/1009" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/8e/b6/8eb6c5476fccd1cebe966e476a29e4b16fb6f42a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14238/pi50.4.2010.207-13"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Artificial Intelligence applied to chest X-Ray images for the automatic detection of COVID-19. A thoughtful evaluation approach [article]

Julian D. Arias-Londoño, Jorge A. Gomez-Garcia, Laureano Moro-Velazquez, Juan I. Godino-Llorente
<span title="2020-11-29">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
However, the procedure is not free of errors, and the interpretation of the chest X-Ray is only restricted to radiologists due to its complexity.  ...  The paper describes the process followed to train a Convolutional Neural Network with a dataset of more than 79,500 X-Ray images compiled from different sources, including more than 8,500 COVID-19 examples  ...  It contains a series of images of controls and tuberculosis patients, captured with a Eureka stationary X-ray machine (CR). All images are de-identified and available in DICOM format.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2011.14259v1">arXiv:2011.14259v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/oldptffn6vdnrplqcwjk2gfeva">fatcat:oldptffn6vdnrplqcwjk2gfeva</a> </span>
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Integrated Use of Lung Ultrasound and Chest X-Ray in the Detection of Interstitial Lung Disease

Luca Vizioli, Federica Ciccarese, Paola Forti, Anna Maria Chiesa, Marco Giovagnoli, Martina Mughetti, Maurizio Zompatori, Marco Zoli
<span title="2016-11-24">2016</span> <i title="S. Karger AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/hd7uwsslz5ailpg3ncmvbyqqsm" style="color: black;">Respiration</a> </i> &nbsp;
to the HRCT results and clinical data. Results: On HRCT, ILD was assessed in 50 patients. CXR was specific (91%; 95% CI 80-100) but not sensitive (48%; 95% CI 28-67).  ...  X-ray 55 enrolled patients without chest X-ray available 49 enrolled patients with chest X-ray available Comparison between different echographic diagnostic criteria 7 excluded for refusal to  ...  ILD, interstitial lung disease; HRCT, high-resolution CT; CXR, chest X-ray.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1159/000452225">doi:10.1159/000452225</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/27880957">pmid:27880957</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/tlrtgg6jijcdrog5ny64h6cjau">fatcat:tlrtgg6jijcdrog5ny64h6cjau</a> </span>
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COVIDScreen: explainable deep learning framework for differential diagnosis of COVID-19 using chest X-rays

Rajeev Kumar Singh, Rohan Pandey, Rishie Nandhan Babu
<span title="2021-01-08">2021</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/a3wauupnbbdj7hbo62upc6grdq" style="color: black;">Neural computing &amp; applications (Print)</a> </i> &nbsp;
X-rays into three classes viz.  ...  Furthermore, we evaluate multiple state-of-the-art GAN architectures and their ability to generate realistic synthetic samples of COVID-19 chest X-rays to deal with limited numbers of training samples.  ...  Acknowledgements We would like to thank the reviewers for their insightful comments which helped improve the overall quality of our manuscript. We would also like to thank Nishanth T.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s00521-020-05636-6">doi:10.1007/s00521-020-05636-6</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/33437132">pmid:33437132</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC7791540/">pmcid:PMC7791540</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6fxeubkozvft5oeg7egly42il4">fatcat:6fxeubkozvft5oeg7egly42il4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210428211740/https://link.springer.com/content/pdf/10.1007/s00521-020-05636-6.pdf?error=cookies_not_supported&amp;code=d5edf919-0a0a-42a9-b4a7-08018344e519" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/04/17/0417bcd4359cc28ad687445d954d3dfcc7bafbb8.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s00521-020-05636-6"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7791540" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Artificial Intelligence applied to chest X-Ray images for the automatic detection of COVID-19. A thoughtful evaluation approach

Julian D. Arias-Londono, Jorge A. Gomez-Garcia, Laureano Moro-Velazquez, Juan I. Godino-Llorente
<span title="2020-12-14">2020</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
However, the procedure is not free of errors, and the interpretation of the chest X-Ray is only restricted to radiologists due to its complexity.  ...  These are the first steps to develop an automatic COVID-19 diagnosis tool using chest X-Ray images to differentiate between controls, pneumonia, or COVID-19 groups.  ...  The destroyed cells produce radiological lesions [5] - [7] such as consolidations and nodules in the lungs, that are observable in the form of ground-glass opacity regions in the X-Ray (XR) images  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.3044858">doi:10.1109/access.2020.3044858</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/34786299">pmid:34786299</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8545248/">pmcid:PMC8545248</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/45dgzsojavbvteaxiycqfyo2xe">fatcat:45dgzsojavbvteaxiycqfyo2xe</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210717134830/https://ieeexplore.ieee.org/ielx7/6287639/8948470/09293268.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/d2/3a/d23abdf3e072dbe78ec6fa85e45ae7b64e2a3c18.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.3044858"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> ieee.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8545248" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Artificial Neural Network-Based Deep Learning Model for COVID-19 Patient Detection Using X-Ray Chest Images

Mohammad Shorfuzzaman, Mehedi Masud, Hesham Alhumyani, Divya Anand, Aman Singh, Dilbag Singh
<span title="2021-06-05">2021</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/cswd2rqrire6lgrsm56kv4adue" style="color: black;">Journal of Healthcare Engineering</a> </i> &nbsp;
X-ray (CXR) scans.  ...  into a single model to extract features from images which are then fed to a custom classifier for prediction.  ...  Generally, different radiology images such as chest X-ray (CXR) and CT (computed tomography) scans are easily accessible to health practitioners in clinical procedures. ese medical imagery modalities can  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2021/5513679">doi:10.1155/2021/5513679</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ofskmngn2bhcrbadl3w6qzk4mq">fatcat:ofskmngn2bhcrbadl3w6qzk4mq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210617031257/https://downloads.hindawi.com/journals/jhe/2021/5513679.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/2c/00/2c0009d9be50f1a6af4139ba8de7e03443148af0.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2021/5513679"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> hindawi.com </button> </a>

Chest X-ray features of SARS-CoV-2 in the emergency department: A multicenter experience from north Italy hospitals

Davide Ippolito, Cesare Maino, Anna Pecorelli, Pietro Allegranza, Cecilia Cangiotti, Carlo Capodaglio, Ilaria Mariani, Teresa Giandola, Davide Gandola, Ilaria Bianco, Maria Ragusi, Cammillo Talei Franzesi (+2 others)
<span title="2020-05-22">2020</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/e4m7pymct5h25ijp5abh6fazwm" style="color: black;">Respiratory Medicine</a> </i> &nbsp;
To evaluate the imaging features of routine admission chest X-ray in patients referred for novel Coronavirus 2019 infection.  ...  Chest X-ray, compared to CT, can be considered a reliable diagnostic tool, especially in the Emergency setting.  ...  and the radiologist staff of both hospitals to support that work.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.rmed.2020.106036">doi:10.1016/j.rmed.2020.106036</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/32469732">pmid:32469732</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC7243792/">pmcid:PMC7243792</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3ochmqgmhnekjp22ejs6zaxviu">fatcat:3ochmqgmhnekjp22ejs6zaxviu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200626175508/http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC7243792&amp;blobtype=pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/2b/b5/2bb5edf35993bdbb22f2c1fc9331304917c1c684.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.rmed.2020.106036"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7243792" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Proposed Scoring System for Evaluating Clinico-radiological Severity of COVID- 19 using Plain Chest X- ray (CXR) changes (CO X-RADS): Preliminary results

Vincenzo De Sanctis, Elsaid M A Bedair, Ashraf T Soliman, Arun Prabhakaran Nair, Muna A Al Masalamani, Mohamed Yassin
<span title="2020-11-10">2020</span> <i > <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/zg6bffp33bfqpa6rlf3i7rcbtq" style="color: black;">Acta bio-medica : Atenei Parmensis</a> </i> &nbsp;
We proposed a simple CXR reporting scoring system (CO X-RADS) to categorize COVID-19 patients according to their radiological severity.  ...  We propose an easy scoring system (CO X-RADS) to describe the severity of chest involvement in symptomatic COVID 19 patients using CXR and to correlate the radiological changes with the clinical severity  ...  The moderate chest involvement group was characterized by the identification of ground glass opacities Figure 7 .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.23750/abm.v91i4.10664">doi:10.23750/abm.v91i4.10664</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/33525220">pmid:33525220</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC7927462/">pmcid:PMC7927462</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mybpktujtrdvbldjhcamrwuysm">fatcat:mybpktujtrdvbldjhcamrwuysm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210219081825/https://www.mattioli1885journals.com/index.php/actabiomedica/article/download/10664/9463" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/6f/49/6f49344b3073e4abbe60173f05e39d6840e8da7a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.23750/abm.v91i4.10664"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7927462" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

CXR-Net: An Encoder-Decoder-Encoder Multitask Deep Neural Network for Explainable and Accurate Diagnosis of COVID-19 pneumonia with Chest X-ray Images [article]

Xin Zhang, Liangxiu Han, Tam Sobeih, Lianghao Han, Nina Dempsey, Symeon Lechareas, Ascanio Tridente, Haoming Chen, Stephen White
<span title="2021-10-20">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Chest X-Ray (CXR) is the first line imaging test for COVID-19 pneumonia diagnosis as it is fast, cheap and easily accessible.  ...  to be used in clinical practice for COVID-19 pneumonia diagnosis.  ...  The model was trained and validated on the "ChestX-ray8" dataset [26] , which was a public repository of Chest Xray images including 108,948 frontal view X-Ray images with eight lung disease labels (Atelectasis  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2110.10813v1">arXiv:2110.10813v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6dinp5xeszewfgm6uqxkc6kt7i">fatcat:6dinp5xeszewfgm6uqxkc6kt7i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211025012327/https://arxiv.org/pdf/2110.10813v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/94/c5/94c5594602810e815b45fa28f2c5a85410a8ea38.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2110.10813v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Coronavirus Disease 2019 Outbreak: Use of a Chest X-ray Scoring System and Evaluation of the Radiologic Findings

Aslı Tanrıvermiş Sayit, Department of Radiology, Ondokuz Mayıs University Faculty of Medicine, Samsun, Turkey, Çetin Çelenk, Şeyma Genç, Department of Radiology, Ondokuz Mayıs University Faculty of Medicine, Samsun, Turkey, Department of Public Health, Ondokuz Mayıs University Faculty of Medicine, Samsun, Turkey
<span title="2021-12-31">2021</span> <i title="AVES Publishing Co."> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kjp2jm4sirdwtog3q75rklahnm" style="color: black;">Cyprus Journal of Medical Sciences</a> </i> &nbsp;
BACKGOUND/AIMS Our objective was to identify the chest X-ray (CXR) features of the patients with coronavirus disease 2019 (COVID-19) and to evaluate the relationship between CXR scores and age and gender  ...  Then, chest CT scans were assessed the presence of pneumonia.  ...  X-Ray and Computed Tomography (CT) Findings Chest X-Ray Findings 1 Table 4 . 4 Imaging Characteristic on the Thorax CT in 27 Patients Opacity Characteristics n Peripheral multifocal ground-glass opacities  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5152/cjms.2021.84-113">doi:10.5152/cjms.2021.84-113</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/r5aqktakmbazvgoacyzknvg4ji">fatcat:r5aqktakmbazvgoacyzknvg4ji</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220302214408/https://cms.galenos.com.tr/Uploads/Article_50658/cjms-6-325-En.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/69/6f/696f18c25c73f9a8b1b162d31ad0aac9260d0c5a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5152/cjms.2021.84-113"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Role of Chest X-Ray in Coronavirus Disease and Correlation of Radiological Features with Clinical Outcomes in Indian Patients

Satyanand Sathi, Richa Tiwari, Savita Verma, Anil Kumar Garg, Virendra Singh Saini, Manoj Kumar Singh, Amit Mittal, Devinder Vohra, Sandeep Kaur
<span title="2021-10-06">2021</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ksuwmmeb4ra73gwqvdpqel7xui" style="color: black;">Canadian Journal of Infectious Diseases and Medical Microbiology</a> </i> &nbsp;
Baseline chest X-rays and serial chest X-rays were reviewed.  ...  This study aimed to assess the characteristic chest X-ray features of COVID-19 and correlate them with clinical outcomes of patients. This retrospective study included 120 COVID-19 patients.  ...  Acknowledgments e authors express their gratitude to the patient and his guardians for providing medical records to prepare the manuscript. e authors are also highly thankful to Professor Dr.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2021/6326947">doi:10.1155/2021/6326947</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/34630785">pmid:34630785</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8494598/">pmcid:PMC8494598</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xtqzlafz55aw7nxngtfp7wfcby">fatcat:xtqzlafz55aw7nxngtfp7wfcby</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211017151528/https://downloads.hindawi.com/journals/cjidmm/2021/6326947.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/10/f0/10f02c6179ceb3cc0a871bfdbe955f0225b678ad.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2021/6326947"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> hindawi.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8494598" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

X-ray Categorization and Retrieval on the Organ and Pathology Level, Using Patch-Based Visual Words

Uri Avni, Hayit Greenspan, Eli Konen, Michal Sharon, Jacob Goldberger
<span title="">2011</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/yhnt2pif75h2bmnnmdg7m6nlc4" style="color: black;">IEEE Transactions on Medical Imaging</a> </i> &nbsp;
In addition to organ-level discrimination, we show an application to pathology-level categorization of chest x-ray data, the most popular examination in radiology.  ...  The system discriminates between healthy and pathological cases, and is also shown to successfully identify specific pathologies in a set of chest radiographs taken from a routine hospital examination.  ...  We present an initial application to pathology-level categorization of chest x-ray data.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tmi.2010.2095026">doi:10.1109/tmi.2010.2095026</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/21118769">pmid:21118769</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gseqpdx2zfc4rdkmyysal7dqfm">fatcat:gseqpdx2zfc4rdkmyysal7dqfm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20120109184901/http://www.eng.biu.ac.il/~goldbej/papers/TMI_2011.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/3c/9a/3c9a498cf0e1ad97a0ea6ac79043cf6bc62aba20.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tmi.2010.2095026"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Identifying and characterizing COPD patients in US managed care. A retrospective, cross-sectional analysis of administrative claims data

Douglas W Mapel, Michael P Dutro, Jenő P Marton, Kimberly Woodruff, Barry Make
<span title="2011-02-23">2011</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3nwt2t3wqff4rigjayo4xqjvdm" style="color: black;">BMC Health Services Research</a> </i> &nbsp;
Identification of COPD patients at highest risk of exacerbations using complexity stratification may facilitate improved disease management by targeting those most in need of treatment.  ...  Conclusion: In patients with COPD identified from Medicare or commercial claims data, there is a relationship between complexity as determined by pulmonary and non-pulmonary comorbid conditions and the  ...  Mapel has served as a consultant to and received research funding from Pfizer Pharmaceuticals, GlaxoSmithKline, and AstraZeneca. Drs.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/1472-6963-11-43">doi:10.1186/1472-6963-11-43</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/21345188">pmid:21345188</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC3050697/">pmcid:PMC3050697</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/usglnsw3ivaoppkvogwyezrgty">fatcat:usglnsw3ivaoppkvogwyezrgty</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170829203649/https://bmchealthservres.biomedcentral.com/track/pdf/10.1186/1472-6963-11-43?site=http://bmchealthservres.biomedcentral.com" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/d3/db/d3dba7c9cf67d46d24a61eb3877d43074732ba3b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/1472-6963-11-43"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> springer.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3050697" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>
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