Automated CAD for Lung Nodule Detection using CT Scan
Journal Title: International Journal of Science and Research (IJSR) - Year 2013, Vol 2, Issue 1
Abstract
To evaluate the performance of the CAD system for automatic pulmonary nodule detect in lungs by using CT scan images. The problem can be summarized as to detect lung nodule in CT-Scan images using combined text feature and supervised learning. Detection of cancerous cells or classification of nodules are the most important factor, to be identified by the radiologist or cancer specialist, as this forms the preliminary state for proper diagnosis of the disease. Hence our work describes on automated computer aided technique for detecting lung nodule on CT scan images.
Dietary Energy Intakes of Sudanese Pregnant Women
Purpose: To determine dietary energy intake of pregnant Sudanese women in their third trimester, with focus on macronutrients fat,, carbohydrates, and protein and their contribution to dietary energy. Methods and Materi...
Cross-Correlation Based Face Recognition Scheme – A Review
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A Survey on Security and Accuracy Constrained Privacy Preserving Task Based Access Control Mechanism for Relational Data
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The Impact of Particles Size Variation of Waste Materials of Heavy Concrete for Gamma Ray Absorption
"Abstract. In this study, the dependence of gamma-ray absorption coefficient on the particulate matter sizes of steel slag, iron fillings and steel balls incorporated concrete were examined. The contents of these filler...