A Deep Learning Model Based on Capsule Networks for COVID Diagnostics through X-ray Images
X-ray diagnostics are widely used to detect various diseases, such as bone fracture, pneumonia, or intracranial hemorrhage. This method is simple and accessible in most hospitals, but requires an expert who is sometimes unavailable. Today, some diagnoses are made with the help of deep learning algor...
Main Authors: | Gabriela Rangel, Juan C. Cuevas-Tello, Mariano Rivera, Octavio Renteria |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-09-01
|
Series: | Diagnostics |
Subjects: | |
Online Access: | https://www.mdpi.com/2075-4418/13/17/2858 |
Similar Items
-
Dilated convolution capsule network for apple leaf disease identification
by: Cong Xu, et al.
Published: (2022-11-01) -
Improved dilation CapsuleNet for motor imagery and mental arithmetic classification based on fNIRS
by: Yu Li, et al.
Published: (2024-12-01) -
From Auto-encoders to Capsule Networks: A Survey
by: El Alaoui-Elfels Omaima, et al.
Published: (2021-01-01) -
From Auto-encoders to Capsule Networks: A Survey
by: El Alaoui-Elfels Omaima, et al.
Published: (2021-01-01) -
Research on Lane Occupancy Rate Forecasting Based on the Capsule Network
by: Ran Tian, et al.
Published: (2020-01-01)