Improving radiographic triaging of COVID-19 patients using artificial intelligence
Cancer Research, Statistics, and Treatment
; 5(2):361-362, 2022.
Artículo
en Inglés
| EMBASE | ID: covidwho-20238218
Palabras clave
algorithm; architecture; artificial intelligence; clinical practice; coronavirus disease 2019/di [Diagnosis]; data analysis; ground glass opacity; human; image analysis; image segmentation; incidence; letter; optogenetics; patient triage; prediction; radiodiagnosis; real time reverse transcription polymerase chain reaction; sensitivity and specificity; thorax radiography; validation process; imaging system; chexpert system
Texto completo:
Disponible
Colección:
Bases de datos de organismos internacionales
Base de datos:
EMBASE
Idioma:
Inglés
Revista:
Cancer Research, Statistics, and Treatment
Año:
2022
Tipo del documento:
Artículo
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