Quantitative Computed Tomography Classification of Lung Nodules
نویسندگان
چکیده
منابع مشابه
Automated detection of lung nodules in low-dose computed tomography
A computer-aided detection (CAD) system for the identification of pulmonary nodules in low-dose multi-detector computed-tomography (CT) images has been developed in the framework of the MAGIC-5 Italian project. One of the main goals of this project is to build a distributed database of lung CT scans in order to enable automated image analysis through a data and cpu GRID infrastructure. The basi...
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Early detection may be of critical importance in lung cancer prognosis. Multi-detector Computed Tomography (CT) increases sensitivity in early lung cancer detection by potentially identifying nodules of smaller size. A Computer Aided Detection (CAD) system for automatic identification of lung nodules is proposed. The system is multistage, including segmentation of lung boundaries, initial nodul...
متن کاملUsing Deep Learning for Classification of Lung Nodules on Computed Tomography Images
Lung cancer is the most common cancer that cannot be ignored and cause death with late health care. Currently, CT can be used to help doctors detect the lung cancer in the early stages. In many cases, the diagnosis of identifying the lung cancer depends on the experience of doctors, which may ignore some patients and cause some problems. Deep learning has been proved as a popular and powerful m...
متن کاملComputer-aided classification of lung nodules on computed tomography images via deep learning technique
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...
متن کاملQuantitative Computed Tomography
Computed Tomography (CT) is a wide-spread medical imaging modality. Traditional CT yields information on a patient’s anatomy in form of slice images or volume data. Hounsfield Units (HU) are used to quantify the imaged tissue properties. Due to the polychromatic nature of X-rays in CT, the HU values for a specific tissue depend on its density and composition but also on CT system parameters and...
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ژورنال
عنوان ژورنال: Journal of Computer Assisted Tomography
سال: 2016
ISSN: 0363-8715
DOI: 10.1097/rct.0000000000000394