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Search results for: cancer
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Year: 2008, Volume: 8, Issue: 2
... A Genetic Algorithm Approach to DNA Microarrays Analysis of Pancreatic Cancer Nicolae Teodor MELITA1, Irinel POPESCU2, Stefan HOLBAN3 ... the pancreatic derived from patients diagnosed with pancreatic cancer. cancer's evolution. The main drawbacks of microarray technology are ... background noise and the insufficient sensitivity. It is very cancer-normal sample pairs collected from patients difficult to distinguish between ...
Year: 2011, Volume: 11, Number: 1
... Challenges in the Design of Microwave Imaging Systems for Breast Cancer Detection Vitaliy ZHURBENKO Technical University of Denmark, ˜rsteds ... effects. the high contrast in dielectric properties between the cancerous Microwave imaging systems for breast cancer detection and normal ... Technique of Breast Tumor Detection and Location, Application to Breast-Cancer Detection, IET Microwaves, Antennas Auswireless 2006 Conference ...
3. Comparison of Classification Algorithms for Detecting Patient Posture in Expandable Tumor Prostheses
Year: 2020, Volume: 20, Number: 2
... . INTRODUCTION and portable structures. Most of these studies use SVM as a Bone cancer is a common type of cancer that often occurs classification method [11 €“ ... relatively low. The majority of these cases that occur in the legs, the cancerous portion of the studies, though, rely exclusively on vision-based techniques, bone ...
Year: 2011, Volume: 11, Number: 2
... laser polarimetry diagnostics of Mueller matrix images of biological crystals: diagnostics of their the cancer prostate tissues," Proceedings of the SPIE, vol. 7008, birefringent ... 2 € cos 2 2 cos , diagnostics of muscle dystrophy, pre-cancer states of zik €, € € ƒ 33 (2) connective ...
Year: 2010, Volume: 10, Issue: 4
... polarimetry diagnostics of V. Angelsky, Ed. Washington: Society of Photo-Optical the cancer prostate tissues," Proceedings of the SPIE, vol. 7008, Instrumentation ... in Pre-Clinic Diagnostics area) and fractal (fractal dimensionality and dispersion for of Their Pre-Cancer States," Journal of Holography and Speckle, vol. the distribution of ...
Year: 2011, Volume: 11, Number: 1
... of based Mueller optical coherence tomography Opt. Lett. 28, p.1206- the cancer prostate tissues," Proceedings of the SPIE, vol. 7008, 1208 ... Tissues Images in Pre-Clinic Diagnostics Offered are statistical, correlation and fractal parameters of Their Pre-Cancer States," Journal of Holography and Speckle, vol. for polarization-singular estimating ...
Year: 2015, Volume: 15, Number: 2
... Advances in Electrical and Computer Engineering Volume 15, Number 2, 2015 Data Clustering on Breast Cancer Data Using Firefly Algorithm with Golden Ratio Method Murat DEMİR1, Ali KARCI2 1 MuŸ Alparslan University, Vocational School, MuŸ, Turkey 2 İnönü University, Faculty of Engineering, Department of Computer Engineering, Malatya, Turkey m.demir ...
... the analysis of mammograms. microcalcifications by suppressing the background tissues including fat, veins, glandular tissues or ducts. Therefore, Index Terms €” biomedical image processing, cancer many researchers have focused on providing a clear detection, computer aided diagnosis, mammography, spatial filters. appearance of microcalcifications and suppressing the background [13-14] ...
Year: 2022, Volume: 22, Number: 4
... selection. beneficial in terms of speed. This study examined and applied Unlike parameters, hyper-parameters are structures that are the Quantum Support Vector Machine steps to the breast cancer dataset. Different types of feature maps used in the not estimated from the data and require adjustment by the conversion of a classical dataset to a quantum dataset ...
Year: 2016, Volume: 16, Number: 4
... Serbia mitar.simic@etfbl.net 1 Abstract €” Parameter estimation of Fricke-Morse model of hepatic tissue from human patients with metastatic biological tissue is widely used in bioimpedance data processing colorectal cancer [7 ], total body water estimation [8 ], etc. and analysis. Complex nonlinear least squares (CNLS) data Structure of the models ...
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