Title |
Automated quantification of COVID-19 pneumonia severity in chest CT using histogram-based multi-level thresholding segmentation
|
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Published in |
Egyptian Journal of Radiology and Nuclear Medicine, December 2021
|
DOI | 10.1186/s43055-021-00602-1 |
Authors |
Hazem Abuzeid Yousef, Ehab Mansour Mohmad Moussa, Mohamed Zidan Mohamed Abdel-Razek, Maha Mohamed Said Ahmed El-Kholy, Lamiaa Hasan Shaaban Hasan, Alaa El-Din Abdel-Moneim El-Sayed, Medhat Araby Khalil Saleh, Mohamed Karim Mahmoud Omar |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Comoros | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 13 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Doctoral Student | 2 | 15% |
Student > Ph. D. Student | 1 | 8% |
Researcher | 1 | 8% |
Professor > Associate Professor | 1 | 8% |
Unknown | 8 | 62% |
Readers by discipline | Count | As % |
---|---|---|
Nursing and Health Professions | 1 | 8% |
Computer Science | 1 | 8% |
Psychology | 1 | 8% |
Engineering | 1 | 8% |
Unknown | 9 | 69% |