Corticosteroid treatment prediction using chest X-ray and clinical data
Background and Objective: Severe courses of COVID-19 disease can lead to long-term complications. The post-acute phase of COVID-19 refers to the persistent or new symptoms. This problem is becoming more relevant with the increasing number of patients who have contracted COVID-19 and the emergence of...
Saved in:
| Main Authors: | Anzhelika Mezina, Samuel Genzor, Radim Burget, Vojtech Myska, Jan Mizera, Aleksandr Ometov |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-12-01
|
| Series: | Computational and Structural Biotechnology Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2001037023004713 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Visibility Enhancement of Lesion Regions in Chest X-Ray Images With Image Fidelity Preservation
by: Ryoichi Ishikawa, et al.
Published: (2025-01-01) -
Artificial intelligence for chest X-ray image enhancement
by: Liming Song, et al.
Published: (2025-02-01) -
Pneumonia Detection: A Comprehensive Study of Diverse Neural Network Architectures using Chest X-Rays
by: Akbar Wajahat, et al.
Published: (2024-09-01) -
Intractable hiccups: How can chest X-ray help?
by: Laxmi Kant Goyal, et al.
Published: (2023-06-01) -
X-Ray Image-Based Real-Time COVID-19 Diagnosis Using Deep Neural Networks (CXR-DNNs)
by: Ali Yousuf Khan, et al.
Published: (2024-12-01)