A novel model of feature extraction for lung cysts detection in CT image using Minutiae based Mumford and Shah functional model

References

• Awais, M., PhD, U. Bagci PhD, B. Foster BSc, Z. Xu PhD, G. Z. Papadakis MD, L. R. Folio DO, MPH, J. K. Udupa PhD, and M. Daniel J. MD. 2015. “Segmentation and Image Analysis of Abnormal Lungs at CT: Current Approaches, Challenges, and Future Trends.” Radiographics 4 (35): 1056–1076. July-August
   Google Scholar
• Badakhshannoory, H., and P. Saeedi. 2011. “A Model-based Validation Scheme for Organ Segmentation in CT Scan Volumes.” IEEE Transactions on Bio-Medical Engineering 9 (58): 2681–2693. doi:10.1109/TBME.2011.2161987.
   Google Scholar
• Badura, P., and E. Pietka. 2014. “Soft Computing Approach to 3D Lung Nodule Segmentation in CT.” Computers in Bology and Medicine 53: 230–243. doi:10.1016/j.compbiomed.2014.08.005.
   PubMed Web of Science ®Google Scholar
• Beare, R., V. Srikanth, J. Chen, T. G. Phan, J. Stapleton, R. Lipshut, and D. Reutens. 2009. “Development and Validation of Morphological Segmentation of Age-related Cerebral White Matter Hyperintensities’.” NeuroImage 47: 199–203. doi:10.1016/j.neuroimage.2009.03.055.
   PubMed Web of Science ®Google Scholar
• Cherry, B., X. Wanga, M. Fulham, S. Eberl, and D. D. Feng. 2013. “Lung Tumour Segmentation in PET Images Using Graph Cuts.” Computer Methods and Programs in Bio-Medicine 109: 260–268. doi:10.1016/j.cmpb.2012.10.009.
   PubMed Web of Science ®Google Scholar
• Hamamci, A., and G. Unal. 2012. “Multimodal Brain Tumour Segmentation Using the Tumour-cut Method on the BraTS Dataset.” proceedings MICCAIBRATS, 19–23.
   Google Scholar
• Keziah, T. A., and P. Haseena. 2018. “Lung Cancer Detection Using SVM Classifier and MFPCM Segmentation.” International Research Journal of Engineering and Technology 4 (5): 3114–3118.
   Google Scholar
• Ling, Z., V. Gopalakrishnan, L. Lu, and R. M. Summers. 2018. “Joel Moss and Jianhua Yao, Self-Learning to Detect and Segment Cysts in Lung Ct Images without Manual Annotation.” 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), Washington, D.C., USA, April 4–7.
   Google Scholar
• Neelima, S., and Asuntha. 2016. “Image Processing Used for Lung Cancer Detection in Medical Imaging.” Journal of Chemical and Pharmaceutical Research 4 (8): 1044–1049.
   Google Scholar
• Prathamesh, G., and R. P. Chauhan. 2016. “Detection of Lung Cancer Using Image Processing Techniques.” International Journal of Advanced Technology and Engineering Exploration 25 (3): 217–222.
   Google Scholar
• Sayali, S. K., and N. D. Thombare. 2015. “Detection of Lung Cancer Using Marker-Controlled Watershed Transform.” 2015 International Conference on Pervasive Computing (ICPC), Pune, India, April 8–10.
   Google Scholar
• Selin, U., and B. Ugur. 2017. “Lung Tumor Segmentation Algorithm.” Procedia Computer Science 120: 140–147. doi:10.1016/j.procs.2017.11.221.
   Google Scholar
• Sieren, J. C., A. R. Smith, J. Thiesse, E. Namatia, E. A. Hoffmanb, J. N. Kline, and G. McLennan. 2011. “Exploration of the Volumetric Composition of Human Lung Cancer Nodules in Correlated Histopathology and Computed Tomography.” Lung Cancer (amsterdam, Netherlands) 74: 61–68. doi:10.1016/j.lungcan.2011.01.023.
   PubMed Web of Science ®Google Scholar
• Taghavi Namin, S., H. Abrishami Moghadam, R. Jafari, M. Esmaeil- Zadeh, and M. Gity. 2010. “Automated Detection and Classification of Pulmonary Nodules in 3D Thoracic CT Images.” Proceedings of the 2010 IEEE SMC Conference, Istanbul, Turkey, October 10–13, 3774–3779.
   Google Scholar
• Wang, T., I. Cheng, and A. Basu. 2009. “Fluid Vector Flow and Applications in Brain Tumour Segmentation.” EEE Transactions on Biomedical Engineering 3 (56): 781–789. doi:10.1109/TBME.2009.2012423.
   Google Scholar
• Zhang, X., J. Tian, K. Deng, Y. Wu, and X. Li. 2010. “Automatic Liver Segmentation Using a Statistical Shape Model with Optimal Surface Detection.” IEEE Transactions on Bio-Medical Engineering 10 (57): 2622–2626. doi:10.1109/TBME.2010.2056369.
   Google Scholar