Classification of COVID-19 Infection in Posteroanterior Chest X-rays
NCT04358536 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 230
Last updated 2020-04-24
Summary
The objective of this study is to assess three configurations of two convolutional deep neural network architectures for the classification of COVID-19 PCX images.
Conditions
Interventions
- DEVICE
-
CovX
Convolutional neural network for classification of COVID-19 from chest X-rays
Sponsors & Collaborators
-
Dascena
lead INDUSTRY
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2020-04-01
- Primary Completion
- 2020-04-17
- Completion
- 2020-04-17
Countries
- United States
Study Locations
More Related Trials
-
Benefit of Tin Filter in Regards to Image Quality and Radiation Dose in CT Scan Study of Pulmonary Parenchyma
NCT04119141 ·Status: UNKNOWN ·Phase: NA
-
Risk Factors and Computed Tomography Findings in COVID-19.
NCT04577105 ·Status: COMPLETED
-
Impact of the CT Scan in Patients With Suspected Covid-19
NCT05079191 ·Status: UNKNOWN
-
Beaumont Quantitative Lung Function Imaging to Characterize Patients With SARS-COV 2
NCT04320511 ·Status: TERMINATED
-
Identify Coronavirus Disease by Chest X-ray
NCT05216471 ·Status: UNKNOWN
-
A Volunteer Study to Collect Imaging Data for the Development of the Medaphor Anatomy Guide.
NCT03654300 ·Status: COMPLETED
-
Optimized Camera-based Patient Positioning in CT
NCT05135208 ·Status: COMPLETED
-
Evaluation of C-arm PCD-CBCT for Image-Guided Interventions
NCT07092553 ·Status: NOT_YET_RECRUITING
-
Pulmonary CT in Pneumonia Complicating Stroke
NCT03106909 ·Status: COMPLETED
-
Koning Breast CT for Breast Imaging in China
NCT01792999 ·Status: COMPLETED ·Phase: PHASE3
-
COVID-19 Risk From Attending Outpatient Radiology Appointments
NCT04544176 ·Status: COMPLETED
-
Multicenter Validation Study of an Artificial Intelligence Tool for Automatic Classification of Chest X-rays
NCT04991987 ·Status: UNKNOWN
-
Cone Beam CT for Breast Imaging
NCT01880580 ·Status: COMPLETED
-
Diagnostic Performance of Chest Computed Tomography Scan in Patients Aged 65 and Over Presenting to Emergency Room With Acute Dyspnea
NCT06104475 ·Status: NOT_YET_RECRUITING ·Phase: NA
-
Multidetector Computed Tomography (MDCT) Tailored Protocol
NCT01737333 ·Status: COMPLETED
-
Egyptian Initial Experience About 2019 Novel Corona Virus: Study of 48 Patients in Alexandria-Egypt Using Chest CT
NCT04382469 ·Status: COMPLETED
-
Reader Study of DeltaView™ Chest Radiograph Software
NCT01261507 ·Status: COMPLETED
-
The Place of Imaging and Microbiology in the Diagnosis of Pneumonia in the Elderly
NCT02467192 ·Status: COMPLETED ·Phase: NA
-
CT Data Collection Study
NCT03589664 ·Status: COMPLETED
-
CBCT vs OPT on the Oral Health Status at 12 Months of Patients Hospitalized for Infective Endocarditis.
NCT06269679 ·Status: RECRUITING ·Phase: NA
-
Initial CT Findings and CO-RADS Stage in COVID-19
NCT04789447 ·Status: COMPLETED
-
COVID-19 Volumetric Quantification on Computer Tomography Using Computer Aided Diagnostics
NCT05282056 ·Status: COMPLETED ·Phase: NA
-
Catheter Tip Position and Contrast Distribution Following Paravertebral Catheter Insertion: a CT Study
NCT07064317 ·Status: COMPLETED
-
AI in the Identification of Lung Contusions Through Chest Radiological Examination in Blunt Thoracic Trauma
NCT06777056 ·Status: RECRUITING
-
Improving Search Strategy for Identifying Urgent Conditions on the Chest X-ray
NCT01883570 ·Status: UNKNOWN ·Phase: PHASE3