Improved computer-aided detection of pulmonary nodules via deep learning in the sinogram domain
نویسندگان
چکیده
منابع مشابه
Computer-aided detection in screening CT for pulmonary nodules.
OBJECTIVE Our objective was to evaluate the performance of a computer-aided detection (CAD) system for pulmonary nodule detection using low-dose screening CT images. MATERIALS AND METHODS One hundred fifty consecutive low-dose screening CT examinations were independently evaluated by a radiologist and a CAD pulmonary nodule detection system (R2 Technology) designed to identify nodules larger ...
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Lung cancer has a poor prognosis when not diagnosed early and unresectable lesions are present. The management of small lung nodules noted on computed tomography scan is controversial due to uncertain tumor characteristics. A conventional computer-aided diagnosis (CAD) scheme requires several image processing and pattern recognition steps to accomplish a quantitative tumor differentiation resul...
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Introduction: In the lung cancers, a computer-aided detection system that is capable of detecting very small glands in high volume of CT images is very useful.This study provided a novelsystem for detection of pulmonary nodules in CT image. Methods: In a case-control study, CT scans of the chest of 20 patients referred to Yazd Social Security Hospital were examined. In the two-dimensional and ...
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Lungs segmentation is a vital step for computer aided diagnosis. Many lungs diseases requiring radiological support for diagnostic purpose, including tuberculosis, emphysema and lungs cancer could be affectively diagnosed using computer-aid. Pulmonary nodules usually act as the early stage characterization of lung cancer. It’s a crucial way to control the disease and reduce the mortality by fur...
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ژورنال
عنوان ژورنال: Visual Computing for Industry, Biomedicine, and Art
سال: 2019
ISSN: 2524-4442
DOI: 10.1186/s42492-019-0029-2