scholarly journals FractalCovNet architecture for COVID-19 Chest X-Ray image Classification and CT-scan image Segmentation

2021 ◽  
Author(s):  
Hemalatha Munusamy ◽  
Karthikeyan JM ◽  
Shriram G ◽  
Thanga Revathi S ◽  
Aravindkumar S
Keyword(s):  
Image Segmentation ◽  
Ct Scan ◽  
Image Classification ◽  
X Ray ◽  
Chest X Ray

Chest X-Ray Image Classification on Common Thorax Diseases using GLCM and AlexNet Deep Features

2019 ◽  
Vol 11 (4) ◽  
Author(s):  
Tengku Afiah Mardhiah Tengku Zainul Akmal ◽  
Joel Chia Ming Than ◽  
Haslailee Abdullah ◽  
Norliza Mohd Noor
Keyword(s):  
Image Classification ◽  
X Ray ◽  
Chest X Ray

scholarly journals XCOVNet: Chest X-ray Image Classification for COVID-19 Early Detection Using Convolutional Neural Networks

2021 ◽  
Author(s):  
Vishu Madaan ◽  
Aditya Roy ◽  
Charu Gupta ◽  
Prateek Agrawal ◽  
Anand Sharma ◽  
...  
Keyword(s):  
Image Classification ◽  
Second Phase ◽  
Two Phase ◽  
X Ray ◽  
The Neural Network ◽  
Rapid Spread ◽  
Chest X Ray ◽  
Polymerase Chain ◽  
Two Phases ◽  
Active Patients

AbstractCOVID-19 (also known as SARS-COV-2) pandemic has spread in the entire world. It is a contagious disease that easily spreads from one person in direct contact to another, classified by experts in five categories: asymptomatic, mild, moderate, severe, and critical. Already more than 66 million people got infected worldwide with more than 22 million active patients as of 5 December 2020 and the rate is accelerating. More than 1.5 million patients (approximately 2.5% of total reported cases) across the world lost their life. In many places, the COVID-19 detection takes place through reverse transcription polymerase chain reaction (RT-PCR) tests which may take longer than 48 h. This is one major reason of its severity and rapid spread. We propose in this paper a two-phase X-ray image classification called XCOVNet for early COVID-19 detection using convolutional neural Networks model. XCOVNet detects COVID-19 infections in chest X-ray patient images in two phases. The first phase pre-processes a dataset of 392 chest X-ray images of which half are COVID-19 positive and half are negative. The second phase trains and tunes the neural network model to achieve a 98.44% accuracy in patient classification.

scholarly journals Deep learning-based meta-classifier approach for COVID-19 classification using CT scan and chest X-ray images

2021 ◽  
Author(s):  
Vinayakumar Ravi ◽  
Harini Narasimhan ◽  
Chinmay Chakraborty ◽  
Tuan D. Pham
Keyword(s):  
Deep Learning ◽  
Ct Scan ◽  
X Ray ◽  
Chest X Ray

scholarly journals Therapeutic effect of cycloserine combined with anti-tuberculosis drugs in the treatment of multidrug-resistant tuberculosis

2022 ◽  
Vol 20 (2) ◽  
pp. 419-424
Author(s):  
Yang Zhao ◽  
Mabin Si ◽  
Zhihui Li ◽  
Xiulei Yu
Keyword(s):  
Ct Scan ◽  
Multidrug Resistant ◽  
Chest Ct ◽  
Case Detection Rate ◽  
X Ray ◽  
Resistant Tuberculosis ◽  
Multidrug Resistant Tuberculosis ◽  
Before And After ◽  
Mdr Tb ◽  
Chest X Ray

Purpose: The present study analyzes the comprehensive therapeutic effect of cycloserine, in combination with anti-tuberculosis drugs using chest X-ray and chest CT (computed tomography) scan techniques. Methods: A total of 90 patients, diagnosed with multidrug resistant tuberculosis (MDR TB) were subjected to chest x-ray and CT scan before and after treatment in the two groups. Different views such as sagittal, coronal, lung window and multiplanar imaging of mediastinal window were taken. Some parameters such as case detection rate (CDR) in chest X-ray and CT scan and comprehensive curative effect were observed in two groups. Further, the changes in chest CT signs in addition to absorption of focus, cavity closure and changes in CT extra pulmonary signs were also observed. Results: The clinical profile of the patients and the course of disease were statistically insignificant (p > 0.05). Total effectiveness rate and case detection rate (CDR) values exhibited a significant difference between the groups (p < 0.05). Lung consolidation, nodules and cavities significantly improved in both groups before and after the treatment (p < 0.05). Both groups showed significant improvements in extrapulmonary signs in CT scan (p < 0.05) after the treatment. Conclusion: Based on the study outcomes, the CT scan method has good potentials for diagnosing and treating MDR TB at the early stages. Further, it can clarify the signs and outcomes of the disease at early stages, thus providing the medical fraternity a great opportunity to cure the disease.

scholarly journals CLINICAL CHARACTERISTICS OF CHILDREN WITH CYSTIC FIBROSIS IN KHARKIV REGION

2017 ◽  
Vol 3 (4) ◽  
pp. 166-169
Author(s):  
Ekateryna Yanovska ◽  
Victoria Klimenko ◽  
Elena Pasichnik
Keyword(s):  
Cystic Fibrosis ◽  
Respiratory Tract ◽  
Ct Scan ◽  
Clinical Characteristics ◽  
Epithelial Lining ◽  
Bacteriological Examination ◽  
Epithelial Lining Fluid ◽  
X Ray ◽  
Chest X Ray ◽  
Microbiological Status

The work is devoted to the study of the clinical and paraclinical peculiarities in children with CF (including respiratory tract microbiocenosis) in Kharkiv region. Also it is about the correlation of microbiological status of CF patients with the disease morbidity.Under the supervision were 30 children with cystic fibrosis. They conducted clinical, paraclinical (bacteriological examination of sputum and epithelial lining fluid, chest X-ray, CT scan of lungs) were performed.Clinical and paraclinic (bacteriological examination of sputum and epithelial lining fluid, chest X-ray, CT scan of lungs) were performed.During observations revealed that the condition severity of CF patients is associated with chronic P. aeruginosa infection, and B. cepacia. And also, that none of patients in Kharkiv region has determined  any of pathognomonic respiratory causative microorganisms – M. Tuberculosis and non-tuberculous micobacteria, H. influenza, Ralstonia picketi, condition of infecting by P. Aeruginosa is not identified, and this is the evidence of insufficient laboratory diagnostics.Key words: cystiс fibrosis, children, microflora В.А. Клименко, К.О. Яновська, О.В. ПасічникКЛІНІЧНА ХАРАКТЕРИСТИКА ДІТЕЙ З МУКОВІСЦИДОЗОМ В ХАРКІВСЬКОМУ РЕГІОНІРобота присвячена вивченню клініко-параклінічних особливостей дітей з МВ (в тому числі - мікробіоценоз респіраторного тракту) в Харківському регіоні. А також визначенню кореляції мікробіологічного статусу хворих МВ з тяжкістю перебігу захворювання.Під наглядом були 30 дітей, хворих на муковісцидоз. Їм проведені клінічні, параклінічні (бактеріологічне дослідження мокротиння і промивних вод бронхів, рентгенограма органів грудної клітки, комп'ютерна томографія легенів) дослідження.В ході спостережень виявлено, що тяжкість стану хворих МВ асоційована з хронічною інфекцією P. aeruginosa і B. cepacia. А також, що в Харківському регіоні з патогномонічних респіраторних збудників МВ у жодного хворого не виявлено M. Tuberculosis і non-tuberculous micobacteria, H. influenza, Ralstonia picketi, не визначається статус інфікування P. aeruginosa, що свідчить про незадовільну лабораторну діагностику.Ключові слова: муковісцидоз, діти, мікрофлора. В.А.  Клименко, Е.А. Яновская, Е.В. ПасичникКЛИНИЧЕСКАЯ ХАРАКТЕРИСТИКА ДЕТЕЙ С МУКОВИСЦИДОЗОМ В ХАРЬКОВСКОМ РЕГИОНЕРабота посвящена изучению клинико-параклинических особенностей детей с МВ (в том числе – микробиоценоз респираторного тракта) в Харьковском регионе. А также определению корреляции микробиологического статуса больных МВ с тяжестью течения заболевания.Под наблюдением были 30 детей, больных муковисцидозом. Им проведены клинические, параклинические (бактериологическое исследование мокроты и промывных вод бронхов, рентгенограмма органов грудной клетки, компьютерная томография легких) исследования.В ходе наблюдений выявлено, что тяжесть состояния больных МВ ассоциирована с хронической инфекцией P. aeruginosa и B. cepacia.  А также, что в Харьковском регионе из патогномоничных респираторных возбудителей МВ ни у одного больного не выявлено M. Tuberculosis и non-tuberculous micobacteria, H. influenza, Ralstonia picketi, не определяется статус инфицирования P. aeruginosa, что свидетельствует о неудовлетворительной лабораторной диагностике.Ключевые слова: муковисцидоз, дети,  микрофлора.

scholarly journals (F)utility of computed tomography of the chest in the presence of pleural effusion

2017 ◽  
Vol 2 (4) ◽  
pp. 181-186 ◽  
Author(s):  
Tilak Pathak ◽  
Malvinder S. Parmar
Keyword(s):  
Computed Tomography ◽  
Pleural Effusion ◽  
Ct Scan ◽  
Clinical Management ◽  
Chest Ct ◽  
X Ray ◽  
Contrast Enhanced ◽  
Plain Chest ◽  
Chest X Ray ◽  
Chest Ct Scan

AbstractBackgroundPleural effusion is common and can cause significant morbidity. The chest X-ray is often the initial radiological test, but additional tests may be required to reduce uncertainty and to provide additional diagnostic information. However, additional exposure and unnecessary costs should be prevented. The objective of the study was to assess the clinical benefit of an additional chest computed tomography (CT) scan over plain chest X-ray alone in the management of patients with pleural effusion.MethodsRetrospective analysis in 94 consecutive patients with pleural effusion who underwent chest X-ray and CT scan over an 18-month period in a single institution. All chest X-ray and CT scan reports were compared and correlated with clinical parameters in order to assess their utility in the clinical management. No blinding was applied.ResultsIn 75 chest CT scan reports (80 %), information provided by the radiologist did not change clinical management when compared to plain chest X-ray alone and did not provide any additional information over chest X-ray. Only 2/49 (4 %) of the native chest CT scan reports provided clinically relevant information as compared to 17/45 (38 %) contrast-enhanced chest CT scan reports (p<0.001).ConclusionsIn this retrospective cohort of patients with pleural effusion, an additional chest CT scan was not useful in the majority of patients. However, if a chest CT scan is required, then a contrast-enhanced study after pleural aspiration should be performed. Further prospective studies are required to confirm these findings.

Sign in / Sign up

Export Citation Format

Share Document