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Computer-aided diagnosis in chest radiography: Beyond nodules
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 …
management of various diseases associated with high mortality and morbidity and display a …
Computer-assisted detection of infectious lung diseases: a review
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 …
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 …
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
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 …
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
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 …
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
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 …
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 …
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
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 …
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 …
radiographs. Therefore, we have developed a computer-aided diagnosis (CAD) system …
Weakly supervised learning based bone abnormality detection from musculoskeletal x-rays
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 …
arriving at the correct diagnosis. Weakly supervised learning (WSL) aims to train deep …