Computer-Aided Diagnosis for Pulmonary Tuberculosis using Texture Features Analysis in Digital Chest Radiography
نویسندگان
چکیده
منابع مشابه
Computer-aided diagnosis in chest radiography
We have developed computer-aided diagnosis (CAD) schemes for the detection of lung nodules, interstitial lung diseases, interval changes, and asymmetric opacities, and also for the differential diagnosis of lung nodules and interstitial lung diseases on chest radiographs. Observer performance studies indicate clearly that radiologists' diagnostic accuracy was improved significantly when radiolo...
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Alterations of the lung shape related to hyperinflation are regarded as indicative of emphysema. We developed and tested a computational descriptor of the shape of the lung-silhouette, as imaged in digital chest radiographs, as an objective mean to detect emphysema in patients with Chronic Obstructive Pulmonary Disease (COPD). A feature vector was extracted from the lung silhouette in lateral c...
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One of the major health problems of global concern is Tuberculosis (TB). According to global report of the WHO, approximately 1.3 million people, out of the 8.6 million reported, died of TB in 2012. Most of the TB deaths can be prevented if it is detected at an early stage. Hindrance to this is improper diagnosis at initial stages. Chest X ray (CXR) image is the primary medical diagnosis used f...
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A system that automatically detects textural abnormalities in medical images will usually require three steps: 1) segmentation, that allows the selection of corresponding regions of interest; 2) texture feature extraction for each region of interest; 3) classification of regions, using the texture features and the ground truth from a training database. After classifying regions in the image, an...
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Radiologists can miss up to 30% of lung nodules (which may develop into cancer) in chest radiographs due to the background anatomy of the lungs which can camouflage the nodules. CAD helps radiologists by performing preprocessing of the images and suggesting the most likely locations for nodules. Detection of lung nodules proceeds through techniques for suppressing the background structures in l...
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ژورنال
عنوان ژورنال: The Journal of the Korea Contents Association
سال: 2011
ISSN: 1598-4877
DOI: 10.5392/jkca.2011.11.11.185