Cargando…
A novel framework for rapid diagnosis of COVID-19 on computed tomography scans
Since the emergence of COVID-19, thousands of people undergo chest X-ray and computed tomography scan for its screening on everyday basis. This has increased the workload on radiologists, and a number of cases are in backlog. This is not only the case for COVID-19, but for the other abnormalities ne...
Autores principales: | Akram, Tallha, Attique, Muhammad, Gul, Salma, Shahzad, Aamir, Altaf, Muhammad, Naqvi, S. Syed Rameez, Damaševičius, Robertas, Maskeliūnas, Rytis |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer London
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7819829/ https://www.ncbi.nlm.nih.gov/pubmed/33500681 http://dx.doi.org/10.1007/s10044-020-00950-0 |
Ejemplares similares
-
Correction to a novel framework for rapid diagnosis of COVID-19 on computed tomography scans
por: Akram, Tallha, et al.
Publicado: (2021) -
Skin Lesion Segmentation and Multiclass Classification Using Deep Learning Features and Improved Moth Flame Optimization
por: Khan, Muhammad Attique, et al.
Publicado: (2021) -
Hemorrhage Detection Based on 3D CNN Deep Learning Framework and Feature Fusion for Evaluating Retinal Abnormality in Diabetic Patients
por: Maqsood, Sarmad, et al.
Publicado: (2021) -
Computer-Aided Depth Video Stream Masking Framework for Human Body Segmentation in Depth Sensor Images
por: Ryselis, Karolis, et al.
Publicado: (2022) -
COVID-19 Case Recognition from Chest CT Images by Deep Learning, Entropy-Controlled Firefly Optimization, and Parallel Feature Fusion
por: Khan, Muhammad Attique, et al.
Publicado: (2021)