Thermogram breast cancer prediction approach based on Neutrosophic sets and fuzzy c-means algorithm
暂无分享,去创建一个
Václav Snásel | Aboul Ella Hassanien | Ahmed M. Anter | Mona M. Soliman | Tarek Gaber | Mona A. S. Ali | Gehad Ismail Sayed | Noura A. Semary | Mona A. S. Ali | A. Hassanien | A. Anter | T. Gaber | N. Semary | V. Snás̃el
[1] Aboul Ella Hassanien,et al. Neutrosophic Sets and Fuzzy C-Means Clustering for Improving CT Liver Image Segmentation , 2014, IBICA.
[2] Aboul Ella Hassanien,et al. Automatic computer aided segmentation for liver and hepatic lesions using hybrid segmentations techniques , 2013, 2013 Federated Conference on Computer Science and Information Systems.
[3] S. Ramakrishnan,et al. Analysis of Breast Thermograms Using Gabor Wavelet Anisotropy Index , 2014, Journal of Medical Systems.
[4] Ramakrishnan Swaminathan,et al. Segmentation of Breast Tissues in Infrared Images Using Modified Phase Based Level Sets , 2013 .
[5] U. Rajendra Acharya,et al. Thermography Based Breast Cancer Detection Using Texture Features and Support Vector Machine , 2012, Journal of Medical Systems.
[6] Michael R Hamblin,et al. CA : A Cancer Journal for Clinicians , 2011 .
[7] A. Jemal,et al. Cancer statistics, 2014 , 2014, CA: a cancer journal for clinicians.
[8] R. Lawson. Implications of surface temperatures in the diagnosis of breast cancer. , 1956, Canadian Medical Association journal.
[9] S. Saranya,et al. Detection of Breast Abnormality from Thermograms Using Curvelet Transform Based Feature Extraction , 2014, Journal of Medical Systems.
[10] Aura Conci,et al. Comparing results of thermographic images based diagnosis for breast diseases , 2014, IWSSIP 2014 Proceedings.
[11] Shie Mannor,et al. Robustness and Regularization of Support Vector Machines , 2008, J. Mach. Learn. Res..
[12] N. Dubrawsky. Cancer statistics , 1989, CA: a cancer journal for clinicians.
[13] J Edeiken,et al. Thermography, mammography, and clinical examination in breast cancer screening. Review of 16,000 studies. , 1977, Radiology.
[14] Soteris A. Kalogirou,et al. Infrared thermography (IRT) applications for building diagnostics: A review , 2014 .
[15] M. Strzelecki,et al. Classification of breast thermal images using artificial neural networks , 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[16] C. M. Sujatha,et al. Total variation based edge enhancement for level set segmentation and asymmetry analysis in breast thermograms , 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[17] E. Yu,et al. Infrared Imaging of the Breast: Initial Reappraisal Using High‐Resolution Digital Technology in 100 Successive Cases of Stage I and II Breast Cancer , 1998, The breast journal.
[18] S. Ramakrishnan,et al. Semi Automatic Segmentation of Breast Thermograms Using Variational Level Set Method , 2014 .
[19] F. Smarandache. A Unifying Field in Logics: Neutrosophic Logic. , 1999 .
[20] Aura Conci,et al. A New Database for Breast Research with Infrared Image , 2014 .
[21] Florentin Smarandache,et al. A unifying field in logics : neutrosophic logic : neutrosophy, neutrosophic set, neutrosophic probability , 2020 .
[22] Jake K. Aggarwal,et al. Boundary extraction in thermal images by edge map , 2004, SAC '04.
[23] Aboul Ella Hassanien,et al. Evaluating an Evolutionary Particle Swarm Optimization for Fast Fuzzy C-Means Clustering on Liver CT Images , 2014 .
[24] A. Conci,et al. Topological Derivative Applied to Automatic Segmentation of Frontal Breast Thermograms , 2013 .
[25] Dragan Jankovic,et al. Comparative analysis of breast cancer detection in mammograms and thermograms , 2015, Biomedizinische Technik. Biomedical engineering.
[26] Thomas B. Moeslund,et al. Thermal cameras and applications: a survey , 2013, Machine Vision and Applications.