Computer-aided detection in chest radiography based on artificial intelligence: a survey

C Qin, D Yao, Y Shi, Z Song - Biomedical engineering online, 2018 - Springer
As the most common examination tool in medical practice, chest radiography has important
clinical value in the diagnosis of disease. Thus, the automatic detection of chest disease …

Dynamic chest radiography: flat-panel detector (FPD) based functional X-ray imaging

R Tanaka - Radiological physics and technology, 2016 - Springer
Dynamic chest radiography is a flat-panel detector (FPD)-based functional X-ray imaging,
which is performed as an additional examination in chest radiography. The large field of …

Lung segmentation in chest radiographs using anatomical atlases with nonrigid registration

S Candemir, S Jaeger, K Palaniappan… - IEEE transactions on …, 2013 - ieeexplore.ieee.org
The National Library of Medicine (NLM) is develo** a digital chest X-ray (CXR) screening
system for deployment in resource constrained communities and develo** countries …

Scan: Structure correcting adversarial network for organ segmentation in chest x-rays

W Dai, N Dong, Z Wang, X Liang, H Zhang… - … Workshop on Deep …, 2018 - Springer
Chest X-ray (CXR) is one of the most commonly prescribed medical imaging procedures,
often with over 2–10x more scans than other imaging modalities. These voluminous CXR …

Segmentation and classification on chest radiography: a systematic survey

T Agrawal, P Choudhary - The Visual Computer, 2023 - Springer
Chest radiography (X-ray) is the most common diagnostic method for pulmonary disorders.
A trained radiologist is required for interpreting the radiographs. But sometimes, even …

A deep learning based dual encoder–decoder framework for anatomical structure segmentation in chest X-ray images

I Ullah, F Ali, B Shah, S El-Sappagh, T Abuhmed… - Scientific Reports, 2023 - nature.com
Automated multi-organ segmentation plays an essential part in the computer-aided
diagnostic (CAD) of chest X-ray fluoroscopy. However, develo** a CAD system for the …

Segmentation of anatomical structures in chest radiographs using supervised methods: a comparative study on a public database

B Van Ginneken, MB Stegmann, M Loog - Medical image analysis, 2006 - Elsevier
The task of segmenting the lung fields, the heart, and the clavicles in standard posterior–
anterior chest radiographs is considered. Three supervised segmentation methods are …

Xlsor: A robust and accurate lung segmentor on chest x-rays using criss-cross attention and customized radiorealistic abnormalities generation

YB Tang, YX Tang, J **ao… - … Conference on Medical …, 2019 - proceedings.mlr.press
This paper proposes a novel framework for lung segmentation in chest X-rays. It consists of
two key contributions, a criss-cross attention based segmentation network and radiorealistic …

Segmentation of lungs in chest X-ray image using generative adversarial networks

F Munawar, S Azmat, T Iqbal, C Grönlund, H Ali - Ieee Access, 2020 - ieeexplore.ieee.org
Chest X-ray (CXR) is a low-cost medical imaging technique. It is a common procedure for
the identification of many respiratory diseases compared to MRI, CT, and PET scans. This …

[HTML][HTML] Automatic screening for tuberculosis in chest radiographs: a survey

S Jaeger, A Karargyris, S Candemir… - … imaging in medicine …, 2013 - ncbi.nlm.nih.gov
Tuberculosis (TB) is a major global health threat. An estimated one-third of the world's
population has a history of TB infection, and millions of new infections are occurring every …