Cancer Detection Using Hyperspectral Imaging and M-FISH Technique
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Ankita Roy, “Quantitative methods and Detection techniques in Hyperspectral imaging involving medical and other Applications” A Dissertation presented to Graduate School of Clempson University., Aug 2007
Bijay Singh & Jimly Dowerah, “Hyperspectral Imaging: New Generation Remote Sensing” Open access e-Journal Earth Science India, Vol. 3 (III), July, 2010 Popular Issue, http://www.earthscienceindia.info/; ISSN: 0974 – 8350
Hamed Akbari, Yukio kosugi,” Hyperspectral Imaging: A new Modality in Surgery” Recent Advances in Biomedical Engineering Hyperspectral Imaging
Karmon Marie Vongsy,” Change detection methods for hyperspectral imagery” A thesis sumitted to Wright State University, 2007.
Futian Yao, Yuntao Qian, “Band selection based gaussian processes for hyperspectral remote Sensing images classification” 978-1-4244-5654-3/09/ 2009 IEEE 2845 ICIP 2009
Gustavo Camps-Valls Lorenzo Bruzzone,” Kernel-Based Methods for Hyperspectral Image Classification”IEEE Transactions on Geoscience and Remote Sensing, vol. 43, no. 6, June 2005 1351
Abel Paz, Antonio Plaza and Soraya Bl´azquez, ”Parallel Implementation Of Target And Anomaly Detection Algorithms For Hyperspectral Imagery”Department of Technology of Computers and Communications, University of Extremadura Avda. de la Universidad s/n, E-10071 C´aceres, Spain
Franco Woolfe, Mauro Maggioni, Gustave Davis, Frederick Warner, Ronald Coifman, and Steven Zucker,” Hyper-spectral microscopic discrimination between normal and cancerous colon biopsies” IEEE Transactions on Medical Imaging, vol. 99, no. 99, November 9999 1
Qian Du, Ivica Kopriva, Harold Szu,” Independent-component analysis for Hyperspectral Remote Sensing Imagery Classification”.
Meiching Fong,”Dimension Reduction on Hyperspectral Images”August 31, 2007 UCLA Department of Mathematics
Lalita Khaodhiar, Thanh Dinh, Kevin T Schomacker, Svetlana V Panasyuk, “The Use of Medical Hyperspectral Technology to Evaluate Microcirculatory Changes in Diabetic Foot Ulcers and Predict Clinical Outcomes” Joslin-Beth Israel Deaconess Foot Center and Microcirculation
Oscar Carrascoa, Richard Gomezb, Arun Chainani, William Ropera,”Hyperspectral Imaging Applied to Medical Diagnoses and Food Safety”
Antonio Plaza, Qian Du, Yang-Lang Chang, “High performance computing for Hyperspectral Remote sensing”, IEEE Journal Of Selected Topics In Applied Earth Observations And Remote Sensing” Feb 2011
Gr´egoire MERCIER, Marc LENNON,” Support Vector Machines for Hyperspectral Image Classification with Spectral-based kernels” 0-7803-7930-6/$17.00 (C) 2003 IEEE
Seong G. Kong, Matthew E. Martin, and Tuan Vo-Dinh,” Hyperspectral Fluorescence Imaging for Mouse Skin Tumor Detection” ETRI Journal, Volume 28, Number 6, December 2006
Chein-i chang, Mingkai Hsueh, Weimin liu, Chao-cheng wu, Farzeen Chaudhry, Gregory Solyar,” A Pyramid-based block of skewers for pixel purity index for Endmember extraction in Hyperspectral imagery” International Journal of High Speed Electronics and SystemsVol. 18, No. 2 (2008) 469–482
Gary Shaw and Dimitris Manolakis,” Signal Processing for Hyperspectral Image Exploitation “ Massachusettes Institute of Technology, Lincoln Laboratory
Nirmal Keshava, John Kerekes, Dimitris Manolakis, Gary Shaw,” Algorithm Taxonomy for Hyperspectral Unmixing” Proceedings of SPIE Vol. 4049 (2000) • 0277-786X/OO/$1
Nadhi Thekkek, BS and Rebecca Richards-Kortum,”Optical Imaging for Cervical Cancer Detection: Solutions for a Continuing Global Problem” Department of Bioengineering, Rice University, 6100 Main Street, Houston, TX 77005
Nadina Erill, Anna Colomer, Míriam Gorriz, Naim Hannaoui, Ruth Román, Maria Conangla, Josep M Banús, Carlos Cordón-Cardo, Xavier Puig, “ Comparison of Fluorescence In Situ Hybridization –FISH– and Conventional Cytology for Early Detection of Urothelial Carcinoma”
Pengo, A. Muñoz-Barrutía, and C. Ortiz-de-Solórzano,” Spectral unmixing of multiply stained fluorescence samples”, Microscopy: Science, Technology, Applications and Education
Martin De Biasio, Raimund Leitner, Franz G. Wuertz, Sergey Verzakov and Pierre J. Elbischger, “Enhancement of m-FISH Images using Spectral Unmixing”, International Journal of Biological and Medical Sciences 3:2 2008
Thomas Arnold, Raimund Leitner, Franz G. Wuertz, and Pierre J. Elbischger “Spot Counting for Automated Analysis of Unmixed Hyper-Spectral M-FISH Images” http://www.waset.org/journals/waset/v44/v44-42.pdf
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