PneumoNet: Artificial Intelligence Assistance for Pneumonia Detection on X-Rays
Pneumonia is a respiratory condition caused by various microorganisms, including bacteria, viruses, fungi, and parasites. It manifests with symptoms such as coughing, chest pain, fever, breathing difficulties, and fatigue. Early and accurate detection is crucial for effective treatment, yet traditio...
Saved in:
| Main Authors: | Carlos Antunes, João M. F. Rodrigues, António Cunha |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-07-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/13/7605 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Enhanced Pneumonia Detection from Chest X-rays Using Machine Learning and Deep Neural Architectures
by: Kamal Upreti, et al.
Published: (2023-06-01) -
Limitations of using artificial intelligence services to analyze chest x-ray imaging
by: Yuriy A. Vasilev, et al.
Published: (2024-12-01) -
Automatic Calculation of Cardiometric Coefficients on Chest X-Ray Images
by: Alexey Kornaev, et al.
Published: (2025-01-01) -
DAViT: A Domain-Adapted Vision Transformer for Automated Pneumonia Detection and Explanation Using Chest X-Ray Images
by: Michael Fu, et al.
Published: (2025-01-01) -
Intelligent measurement of adolescent idiopathic scoliosis x-ray coronal imaging parameters based on VB-Net neural network: a retrospective analysis of 2092 cases
by: Jinlong Liu, et al.
Published: (2025-01-01)