Computer-aided diagnosis in chest radiography: Beyond nodules

B van Ginneken, L Hogeweg, M Prokop - European journal of radiology, 2009 - Elsevier
Chest radiographs are the most common exam in radiology. They are essential for the
management of various diseases associated with high mortality and morbidity and display a …

Computer-assisted detection of infectious lung diseases: a review

U Bağcı, M Bray, J Caban, J Yao, DJ Mollura - … Medical Imaging and …, 2012 - Elsevier
Respiratory tract infections are a leading cause of death and disability worldwide. Although
radiology serves as a primary diagnostic method for assessing respiratory tract infections …

Quantitative computed tomography imaging of interstitial lung diseases

BJ Bartholmai, S Raghunath, RA Karwoski… - Journal of thoracic …, 2013 - journals.lww.com
Purpose: High-resolution chest computed tomography (HRCT) is essential in the
characterization of interstitial lung disease. The HRCT features of some diseases can be …

Automatic detection of tuberculosis in chest radiographs using a combination of textural, focal, and shape abnormality analysis

L Hogeweg, CI Sánchez, P Maduskar… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
Tuberculosis (TB) is a common disease with high mortality and morbidity rates worldwide.
Automatic systems to detect TB on chest radiographs (CXRs) can improve the efficiency of …

A hybrid knowledge-guided detection technique for screening of infectious pulmonary tuberculosis from chest radiographs

R Shen, I Cheng, A Basu - IEEE transactions on biomedical …, 2010 - ieeexplore.ieee.org
Tuberculosis (TB) is a deadly infectious disease and the presence of cavities in the upper
lung zones is a strong indicator that the disease has developed into a highly infectious state …

Hybrid resampling and multi-feature fusion for automatic recognition of cavity imaging sign in lung CT

G Han, X Liu, H Zhang, G Zheng, NQ Soomro… - Future Generation …, 2019 - Elsevier
The automatic recognition of cavity imaging signs in lung computed tomography (CT)
images is of great importance for early diagnosis and possible cure of lung tuberculosis and …

Computer-aided detection of early interstitial lung diseases using low-dose CT images

SC Park, J Tan, X Wang, D Lederman… - Physics in Medicine …, 2011 - iopscience.iop.org
This study aims to develop a new computer-aided detection (CAD) scheme to detect early
interstitial lung disease (ILD) using low-dose computed tomography (CT) examinations. The …

Effect of finite sample size on feature selection and classification: a simulation study

TW Way, B Sahiner, LM Hadjiiski, HP Chan - Medical physics, 2010 - Wiley Online Library
Purpose: The small number of samples available for training and testing is often the limiting
factor in finding the most effective features and designing an optimal computer‐aided …

Computerized classification of pneumoconiosis on digital chest radiography artificial neural network with three stages

E Okumura, I Kawashita, T Ishida - Journal of digital imaging, 2017 - Springer
It is difficult for radiologists to classify pneumoconiosis from category 0 to category 3 on chest
radiographs. Therefore, we have developed a computer-aided diagnosis (CAD) system …

Weakly supervised learning based bone abnormality detection from musculoskeletal x-rays

K Kumar, S Chakraborty, K Tadepalli, S Roy - Multimedia Tools and …, 2024 - Springer
Accurate localization of abnormalities within X-ray images is of the utmost importance for
arriving at the correct diagnosis. Weakly supervised learning (WSL) aims to train deep …