A semi‐supervised learning‐based quality evaluation system for digital chest radiographs
S Wei, R Qiu, Y Pu, A Hu, Y Niu, Z Wu… - Medical …, 2023 - Wiley Online Library
Background Digital radiography is the most commonly utilized medical imaging technique
worldwide, and the quality of radiographs plays a crucial role in accurate disease diagnosis …
worldwide, and the quality of radiographs plays a crucial role in accurate disease diagnosis …
Chest X-ray diagnostic quality assessment: How much is pixel-wise supervision needed?
Chest X-ray is an important imaging method for the diagnosis of chest diseases. Chest
radiograph diagnostic quality assessment is vital for the diagnosis of the disease because …
radiograph diagnostic quality assessment is vital for the diagnosis of the disease because …
Automating chest radiograph imaging quality control
K Nousiainen, T Mäkelä, A Piilonen, JI Peltonen - Physica Medica, 2021 - Elsevier
Purpose To automate diagnostic chest radiograph imaging quality control (lung inclusion at
all four edges, patient rotation, and correct inspiration) using convolutional neural network …
all four edges, patient rotation, and correct inspiration) using convolutional neural network …
Automated quality assessment of chest radiographs based on deep learning and linear regression cascade algorithms
Y Meng, J Ruan, B Yang, Y Gao, J Jin, F Dong, H Ji… - European …, 2022 - Springer
Objectives Develop and evaluate the performance of deep learning and linear regression
cascade algorithms for automated assessment of the image layout and position of chest …
cascade algorithms for automated assessment of the image layout and position of chest …
[PDF][PDF] Automatic no-reference quality assessment in chest radiographs based on deep convolutional neural networks
Y Meng, Y Gao, J Jin, J Ruan, L He, Q Shen, X Gong - 2022 - scholar.archive.org
Background: Chest radiography is the most frequently performed examinations in the
department of radiology. The image quality plays an essential role in further decision making …
department of radiology. The image quality plays an essential role in further decision making …
Artificial intelligence for point of care radiograph quality assessment
Chest X-rays are among the most common modalities in medical imaging. Technical flaws of
these images, such as over-or under-exposure or wrong positioning of the patients can …
these images, such as over-or under-exposure or wrong positioning of the patients can …
Detection of foreign objects in chest radiographs using deep learning
H Deshpande, T Harder, A Saalbach… - 2020 IEEE 17th …, 2020 - ieeexplore.ieee.org
We propose a deep learning framework for the automated detection of foreign objects in
chest radiographs. Foreign objects can affect the diagnostic quality of an image and could …
chest radiographs. Foreign objects can affect the diagnostic quality of an image and could …
Quality assurance of chest X-ray images with a combination of deep learning methods
D Oura, S Sato, Y Honma, S Kuwajima, H Sugimori - Applied Sciences, 2023 - mdpi.com
Background: Chest X-ray (CXR) imaging is the most common examination; however, no
automatic quality assurance (QA) system using deep learning (DL) has been established for …
automatic quality assurance (QA) system using deep learning (DL) has been established for …
Perceptual quality assessment of chest radiograph
The quality of a chest X-ray image or radiograph, which is widely used in clinics, is a very
important factor affects doctors' clinical decision making. Since there is no chest X-ray image …
important factor affects doctors' clinical decision making. Since there is no chest X-ray image …
Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists
Background Chest radiograph interpretation is critical for the detection of thoracic diseases,
including tuberculosis and lung cancer, which affect millions of people worldwide each year …
including tuberculosis and lung cancer, which affect millions of people worldwide each year …