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Lack of AI-based method for pneumocystis pneumonia classification in radiological diagnosis of SARS-CoV-2
- Source :
- Clinical Imaging, Clinical Imaging, Elsevier, 2021, 79, pp.94-95. ⟨10.1016/j.clinimag.2021.03.037⟩
- Publication Year :
- 2021
- Publisher :
- HAL CCSD, 2021.
-
Abstract
- International audience
- Subjects :
- 2019-20 coronavirus outbreak
Coronavirus disease 2019 (COVID-19)
[SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
Pneumocystis pneumonia
[SDV.MHEP.PSR]Life Sciences [q-bio]/Human health and pathology/Pulmonology and respiratory tract
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
03 medical and health sciences
Deep Learning
0302 clinical medicine
Artificial Intelligence
[SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseases
medicine
[INFO.INFO-IM]Computer Science [cs]/Medical Imaging
Humans
Radiology, Nuclear Medicine and imaging
030212 general & internal medicine
ComputingMilieux_MISCELLANEOUS
[SDV.MHEP.ME]Life Sciences [q-bio]/Human health and pathology/Emerging diseases
SARS-CoV-2
business.industry
Breast Imaging
Pneumonia, Pneumocystis
COVID-19
medicine.disease
Virology
3. Good health
Pneumonia
030228 respiratory system
Radiological weapon
business
Subjects
Details
- Language :
- English
- ISSN :
- 08997071
- Database :
- OpenAIRE
- Journal :
- Clinical Imaging, Clinical Imaging, Elsevier, 2021, 79, pp.94-95. ⟨10.1016/j.clinimag.2021.03.037⟩
- Accession number :
- edsair.doi.dedup.....238aa130f927ea8309da2d31379440f5
- Full Text :
- https://doi.org/10.1016/j.clinimag.2021.03.037⟩