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Evaluation of geometric feature descriptors for detection and classification of lung nodules in low dose CT scans of the chest.

A. Farag, A. Ali, J. Graham, A. Farag, S. Elshazly, and R. Falk. ISBI, page 169-172. IEEE, (2011)

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Statistical modeling of the lung nodules in low dose computed tomography scans of the chest.A. Farag, J. Graham, S. Elshazly, and A. Farag. ICIP, page 4281-4284. IEEE, (2010)A Unified Framework for Automated Colon Segmentation.M. Ismail, A. Farag, S. Elshazly, R. Curtin, and R. Falk. ABDI@MICCAI, volume 8676 of Lecture Notes in Computer Science, page 188-198. Springer, (2014)One-sided transparency: A novel visualization for tubular objects.R. Curtin, M. Ismail, A. Farag, C. Sites, S. Elshazly, and R. Falk. ICIP, page 3513-3517. IEEE, (2014)Data-Driven Lung Nodule Models for Robust Nodule Detection in Chest CT.A. Farag, J. Graham, S. Elshazly, and A. Farag. ICPR, page 2588-2591. IEEE Computer Society, (2010)Evaluation of geometric feature descriptors for detection and classification of lung nodules in low dose CT scans of the chest.A. Farag, A. Ali, J. Graham, A. Farag, S. Elshazly, and R. Falk. ISBI, page 169-172. IEEE, (2011)Variational approach for segmentation of lung nodules.A. Farag, H. Abdelmunim, J. Graham, A. Farag, S. Elshazly, S. El-Mogy, M. El-Mogy, R. Falk, S. Al-Jafary, H. Mahdi and 1 other author(s). ICIP, page 2157-2160. IEEE, (2011)An AAM-based detection approach of lung nodules from LDCT scans.A. Farag, H. Abdelmunim, J. Graham, A. Farag, C. Carter, S. Elshazly, M. El-Mogy, S. El-Mogy, and R. Falk. ISBI, page 1040-1043. IEEE, (2012)Statistical morphable model for human teeth restoration.E. Mostafa, S. Elhabian, A. Abdelrahim, S. Elshazly, and A. Farag. ICIP, page 4285-4288. IEEE, (2014)Feature fusion for lung nodule classification.A. Farag, A. Ali, S. Elshazly, and A. Farag. Int. J. Comput. Assist. Radiol. Surg., 12 (10): 1809-1818 (2017)A Novel Visualization Technique for Virtual Colonoscopy Using One-Sided Transparency.R. Curtin, A. Farag, S. Elshazly, M. Ismail, C. Sites, and R. Falk. ABDI@MICCAI, volume 8676 of Lecture Notes in Computer Science, page 199-208. Springer, (2014)

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Evaluation of geometric feature descriptors for detection and classification of lung nodules in low dose CT scans of the chest.

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Disambiguation of "Elshazly, Salwa"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Evaluation of geometric feature descriptors for detection and classification of lung nodules in low dose CT scans of the chest.

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Evaluation of geometric feature descriptors for detection and classification of lung nodules in low dose CT scans of the chest.