Detection of COVID-19 Lung Lesions in Computed Tomography Images Using Deep Learning
The novel coronavirus (COVID-19) is a disease that mainly affects the lung tissue. The detection of lesions caused by this disease can help to provide an adequate treatment and monitoring its evolution. This research focuses on the bi nary classification of lung lesions caused by COVID-19 in image...
Αποθηκεύτηκε σε:
Άλλοι συγγραφείς: | Mederos, Boris, Mejia, Jose, Rascon Madrigal, Lidia Hortencia, Cota Ruiz, Juan De Dios, Díaz Román, José David |
---|---|
Μορφή: | Artículo |
Γλώσσα: | en_US |
Έκδοση: |
2022
|
Θέματα: | |
Διαθέσιμο Online: | https://dx.doi.org/10.17488/RMIB.43.1.1 http://rmib.mx/index.php/rmib/article/view/1208 |
Ετικέτες: |
Προσθήκη ετικέτας
Δεν υπάρχουν, Καταχωρήστε ετικέτα πρώτοι!
|
Παρόμοια τεκμήρια
-
Mexican traffic sign detection and classification using deep learning
Έκδοση: (2022) -
Improving segmentation of liver tumors using deep learning
ανά: Mejia, Jose
Έκδοση: (2020) -
Intelligent system for the visual support of caloric intake of food in inhabitants of a smart city using a deep learning model
ανά: Ochoa, Alberto
Έκδοση: (2020) -
Dictionary-based super resolution for positron emission tomography images
ανά: Rodríguez Hernández, Leandro José
Έκδοση: (2019) -
Deep learning-based endometrial cancer detection from Pipelle de Cornier biopsy images: 6CP23-7
ανά: Haydeé Itzel Lira Casas, κ.ά.
Έκδοση: (2023)