AIMC Topic: Radiography, Thoracic
Clear Filters Showing 511 to 520 of 591 articles
Glossary of Terms for Thoracic Imaging: Implications for Machine Learning and Future Practice.
Radiology
Jun 1, 2024
Enhancing AI-assisted Interpretation of Chest Radiographs: A Critical Analysis of Methods and Applicability.
Radiology
May 1, 2024
Enhancement of Fairness in AI for Chest X-ray Classification.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 1, 2024
The use of artificial intelligence (AI) in medicine has shown promise to improve the quality of healthcare decisions. However, AI can be biased in a manner that produces unfair predictions for certain demographic subgroups. In MIMIC-CXR, a publicly a...
Advanced Lung Disease Detection: CBAM-Augmented, Lightweight EfficientNetB2 with Visual Insights.
Current medical imaging
Jan 1, 2024
INTRODUCTION: This paper presents a multichannel deep-learning method for detecting lung diseases using chest X-ray images. Using EfficientNetB0 through EfficientNetB7 pretrained models, the methodology offers improved performance in classifying COVI...
Pneumonia detection on chest X-rays from Xception-based transfer learning and logistic regression.
Technology and health care : official journal of the European Society for Engineering and Medicine
Jan 1, 2024
Pneumonia is a dangerous disease that kills millions of children and elderly patients worldwide every year. The detection of pneumonia from a chest x-ray is perpetrated by expert radiologists. The chest x-ray is cheaper and is most often used to diag...
Can AI generate diagnostic reports for radiologist approval on CXR images? A multi-reader and multi-case observer performance study.
Journal of X-ray science and technology
Jan 1, 2024
BACKGROUND: Accurately detecting a variety of lung abnormalities from heterogenous chest X-ray (CXR) images and writing radiology reports is often difficult and time-consuming.
Classification of Pneumonia via a Hybrid ZFNet-Quantum Neural Network Using a Chest X-ray Dataset.
Current medical imaging
Jan 1, 2024
INTRODUCTION: Deep neural networks (DNNs) have made significant contributions to diagnosing pneumonia from chest X-ray imaging. However, certain aspects of diagnosis and planning can be further enhanced through the implementation of a quantum deep ne...
Multi-disease X-ray Image Classification of the Chest Based on Global and Local Fusion Adaptive Networks.
Current medical imaging
Jan 1, 2024
BACKGROUND: Chest X-ray image classification for multiple diseases is an important research direction in the field of computer vision and medical image processing. It aims to utilize advanced image processing techniques and deep learning algorithms t...
Hemi-diaphragm detection of chest X-ray images based on convolutional neural network and graphics.
Journal of X-ray science and technology
Jan 1, 2024
BACKGROUND: Chest X-rays (CXR) are widely used to facilitate the diagnosis and treatment of critically ill and emergency patients in clinical practice. Accurate hemi-diaphragm detection based on postero-anterior (P-A) CXR images is crucial for the di...
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