Development of Chest X-ray Image Evaluation Software Using the Deep Learning Techniques

K Usui, T Yoshimura, S Ichikawa, H Sugimori - Applied Sciences, 2023 - mdpi.com
Although the widespread use of digital imaging has enabled real-time image display,
images in chest X-ray examinations can be confirmed by the radiologist's eyes. Considering …

Development and performance testing of a deep learning computer-aided diagnosis system for chest X-rays

G Gana, T Sibanda, T Madzorera, M Nhemachena… - 2022 - Eur Respiratory Soc
Background: Medical imaging is essential for the diagnosis of many pathologies such as
pneumonia, pneumothorax and lung cancer. Chest X-rays provide an accessible and cost …

Deep Learning for Chest X-ray Diagnosis: Competition Between Radiologists with or Without Artificial Intelligence Assistance

L Guo, C Zhou, J Xu, C Huang, Y Yu, G Lu - Journal of Imaging Informatics …, 2024 - Springer
This study aimed to assess the performance of a deep learning algorithm in helping
radiologist achieve improved efficiency and accuracy in chest radiograph diagnosis. We …

[PDF][PDF] Development of a deep learning model for chest X-ray screening

WH Hsu, FJ Tsai, G Zhang, CK Chang… - MEDICAL PHYSICS …, 2019 - researchgate.net
Developed in recent years, deep neural network becomes the best method for rapid analysis
of advanced features and automation in medical image analysis. As a second clinical …

Classification of diseases on chest X-rays using deep learning

S Kaymak, K Almezhghwi, AAS Shelag - 13th International Conference on …, 2019 - Springer
Doctors and radiologists are still using manual and visual manners in ordert to diagnose the
chest radiographs. Thus, there is a need for an intelligent and automatic system that has the …

A ensemble methodology for automatic classification of chest X-rays using deep learning

L Vogado, F Araújo, PS Neto, J Almeida… - Computers in Biology …, 2022 - Elsevier
Chest radiographies, or chest X-rays, are the most standard imaging exams used in daily
hospitals. Responsible for assisting in detecting numerous pathologies and findings that …

AI-driven deep convolutional neural networks for chest X-ray pathology identification

S Albahli… - Journal of X-Ray Science …, 2022 - content.iospress.com
BACKGROUND: Chest X-ray images are widely used to detect many different lung diseases.
However, reading chest X-ray images to accurately detect and classify different lung …

A Study on CNN Architectures for Chest X-rays Multiclass Computer-Aided Diagnosis

A Ramos, V Alves - World Conference on Information Systems and …, 2020 - Springer
X-rays are the most commonly used medical images and are involved in all areas of
healthcare because they are relatively inexpensive compared to other modalities and can …

Role of an automated deep learning algorithm for reliable screening of abnormality in chest radiographs: a prospective multicenter quality improvement study

A Govindarajan, A Govindarajan, S Tanamala… - Diagnostics, 2022 - mdpi.com
In medical practice, chest X-rays are the most ubiquitous diagnostic imaging tests. However,
the current workload in extensive health care facilities and lack of well-trained radiologists is …

Chest X-ray abnormality detection by using artificial intelligence: a single-site retrospective study of deep learning model performance

D Kvak, A Chromcová, M Biroš, R Hrubý, K Kvaková… - …, 2023 - mdpi.com
Chest X-ray (CXR) is one of the most common radiological examinations for both
nonemergent and emergent clinical indications, but human error or lack of prioritization of …