detection of breast cancer
Breast cancer can be diagnosed through multiple tests, including a mammogram, ultrasound, MRI and biopsy.
ieee papers only
Breast cancer diagnosis by different machine learning methods using blood analysis data
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In recent years, ML methods have become widespread in predicting and detecting applications in order In the last paper [20], breast cancer was detected using ANN classification Breast cancer : prevention and control, http://www.who.int/ cancer / detection / breastcancer /en/index1
Experimental investigation of microwave imaging via space-time beamforming for breast cancer detection
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Abstract We investigate the experimental feasibility of detecting small malignant breast tumors its limitations are well recognized [I]. Approximately 15% of all breast cancers are missed a compelling rationale for the development of microwave breast cancer detection technology
An introduction to microwave imaging for breast cancer detection
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AM, El-Shenawee M (2011) Review of electromagnetic techniques for breast can- cer detection . IEEE Reviews in Biomedical Engineering 4: 103 11 DOI 10.1109/RBME. 2011.2169780 Nikolova N (2011) Microwave imaging for breast cancer . IEEE Microwave Magazine
Microwave thermography for cancer detection
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To detect microwave radiation we use a microwave receiver (LNC) in 10-12 structural modifications of tissues could be detected before those being detected with classical Susan C. Hagness, Maria A. Stuchly, Confocal microwaves imaging for breast cancer detection IEEE trans
Breast cancer diagnosis systems: A review
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Second, individual microcalcifications is detected by using a set of 31 features extracted from the features: entropy, standard deviation, and number of pixels, was used to detect a microcalcification Clinical optical tomography and NIR spectroscopy for breast cancer detection
UWB antenna with circular patch for earley breast cancer detection
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Position of the last Tumor 1 13.2 16.4 16 21.2 point of the detected Tumor 2 14.4 25.2 12.4 12.4 tumor [mm] Tumor 3 15.2 29.2 25.2 34.4 UWB antenna with circular patch for earley breast cancer detection (Aziz El fatimi) medical imaging to detect breast cancer
Comparative analysis of artificial neural network and support vector machine classification for breast cancer detection
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Secondly, there is need to detect this disease in early stage by knowing different concluded that feed forward neural network give the good performance for detecting the breast R.Sendhil KumaR, Feed Forward network with Back Propogation Algorithm for Detection of Breast
Computer aided system for detection and classification of breast cancer
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known way to prevent breast cancer but the earlier the cancer is detected the higher Shanthi and Murali Bhaskaran used IFCM clustering to detect the ROI from the mammogram 2009) Image feature extraction in the last screening mammograms prior to detection of breast
Development of a hemi-spherical wideband antenna array for breast cancer imaging
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SC Hagness, A. Tafove and JE Bridges, Two- dimensional FDTD analysis of a pulsed microwave confocal system for breast cancer detection : Fixed-focus and antenna-array sensors, IEEE Trans EC Fear and MA Stuchly, Microwave detection of breast cancer IEEE Trans
Electrical impedance tomography as a primary screening technique for breast cancer detection
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Seven tomography slices are then created within 40 seconds at the depths of 0.4 cm to 4.6 cm to detect and isolate tumours Technology review: the use of electrical impedance scanning in the detection of breast cancer . Breast Cancer Res, 69-74
Early detection of breast cancer using self similar fractal method
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This property was verified for all the micro calcifications detected in the analyzed data set An Improved CAD scheme using wavelet transform for detect Ion of clustered micro-calcifications in digital An artificial intelligent system for tumor detection in screening mammogram
GUI Based Automatic Breast Cancer Mass and Calcification Detection in Mammogram Images usingK-means and Fuzzy C-means Methods
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Combining these we have successfully detected the breast cancer area in raw mammograms results indicate that this system can facilitate the radiologist to detect the breast REFERENCES Mohiy Hadhou, Mohamed Amin, and Walid Dabbour, Detection of Breast Cancer
Uwb rectangular ring microstrip antenna with simple capacitive feed for breast cancer detection
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5. Fear, EC and MA Stuchy, Microwave breast tumor detection : Antenna design and char- acterization, IEEE 2000. 6. Yun, X., EC Fear, and RH Johnston, Compact antenna for radar-based breast cancer detection IEEE Transaction of Antennas and Propagation, Vol. 53
Interpreting artificial neural network output for the microwave detection of breast cancer
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4 pp. 1841-185 11/.2000. EJ Bond, Xu Li, SC Hagness and BD Van Veen, Microwave imaging via space-time beamforming for early detection of breast cancer IEEE Transaction on Antennas and Propagation, vol. 5 pp. 1690-70 08/.2003
Quantitative analysis of breast skin for tumor detection using electromagnetic waves
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1984. E. Alanen and IV Lindell, Effect of skin in microwave detection of breast cancer IEEE Trans [16] DA Woten and M. El-Shenawee, Broadband dual linear polarized antenna for statistical detection of breast cancer IEEE Antenna and Propagation Letters, vol. 5 no
An approach for breast cancer diagnosis classification using neural network
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was used for the purpose of classification between two types of cancers benign and The database used for detection of breast cancer by artificial neural networks is publicly T., ―A Combination of Genetic Algorithm and ART Neural Network for Breast Cancer Diagnosis‖ Asian
A compact UWB antenna design for breast cancer detection
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for a microwave imaging system that is used to operate and detect the breast as shown in Figure 4. In addition, a directional radiation pattern was detected as preferred Yun, X., EC Fear, and RH Johnston, Compact antenna for radar-based breast cancer detection IEEE Trans
Breast cancer detection from fna using svm and rbf classifier
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Keywords: Breast cancer detection Parameter tuning, Radial basis function networks, Support vector machines Breast cancer be detected via a cautious study of clinical history, physical examination and imaging with either mammography or ultrasound
Flexible Antenna Array for Early Breast Cancer Detection Using Radiometric Technique
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the mortality which appears in the cases where the breast cancer was detected in late [28] KL Carr, Microwave radiometry: Its importance to the detection of cancer A. Ciobanu, and S. Bejinariu, Microwave Medical Imaging in a Non-Invasive Breast Cancer Diagnosis System
Computer aided decision system for early detection of breast cancer
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Thus, a true cluster is considered detected if at least one finding is found The system is capable of detecting microcalcifications by visual inspection of digital mammograms reference radiologist: Estimates of interobserver agreement and potential delay in cancer detection in the permit existing microwave equipment having standard sensitivity and dynamic range to detect tumors located ln l), max(rn r)}. (5) Here, N is the number of detected points, In FDTD analysis of a pulsed microwave con-focal system for breast cancer detection : fixedfocus
Anatomically realistic FDTD modeling of microwave interactions with human breast
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We have recently proposed a method of microwave imaging via space-time (MIST) beamforming for detecting and localizing backscattered energy from small malignant breast tumors 2000. EC Fear and MA Stuchly, Microwave detection of breast cancer , IEEE Trans
A survey of computer-aided detection of breast cancer with mammography
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In previous studies, masses are detected using single view information Using four mammograms to detect simulates the radiologists interpretation 6. Tang J, Rangayyan RM, Xu J, EI Naqa I, Yang Y (2009) Computer-aided detection and diagnosis of breast cancer with
An adaptive K-means clustering algorithm for breast image segmentation
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been developed to help radiologists to evaluate medical images and detect lesions at an low contrast of calcified pixels while segmentation will segment the detected MCCs from 2000 .A Computer-Aided Design Mammography Screening System for Detection and Classification
Mitosis detection in breast cancer histology images via deep cascaded networks
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The false positives are mistakenly detected because the appearance of them is quite similar Despite a few false results, our method could successfully detect most mitoses in these A gamma-gaussian mixture model for detection of mitotic cells in breast cancer histopathology
The effect of thermography on breast cancer detection
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Developed rules were applied in classifier to detect about the presence of Shrivakshan GT, Chandrasekar C. A comparison of various edge detection tech- niques used in various machine learning techniques used for detecting breast cancer . Compu- tational Intelligence and
Automated Evaluation Of Breast Cancer Detection Using Svm Classifier
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The extraction methods of texture feature play very important role in detecting abnormalities of mammograms because of the nature of mammograms So it can help a doctor to detect and diagnose breast cancer easily Neural Networks for the Detection and Localization of
Radio-frequency breast cancer imaging results for a simplified cylindrical phantom
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potential outcomes have triggered the investigation of many microwave imaging techniques, aiming at detecting localizing and In both cases the tumour is well detected SC Hagness, and BDV Veen, Microwave imaging via space-time beamforming for early detection of breast
Survey paper on diagnosis of breast cancer using image processing techniques
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High and Low Level Empirical Facts: The processing on ultrasound can detect images up to for which 20 voxel average filters is applied to the edge detected image for T. Chrisiian Cahoon, Melanie A. Sutton, James C. Bezdek, Breast cancer detection using image processing
Detection of breast cancer tumor algorithm using mathematical morphology and wavelet analysis
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6. Conclusions An efficient detection of breast cancer tumor algorithm from digital M.Karnan, R.Sivakum- ar, A. kaja Mohideen, Automatic detection of microcalcification Simon, OB Gatewood, IN Weinberg, WR Brody, Segmentation algorithms for detecting microcalcifications in
Neural network aided breast cancer detection and diagnosis using support vector machine
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Most breast cancers are detected by the patient as a lump in the breast The efficiency of manual detection of breast cancer is 85% and the efficiency of the Support Vector machine recognition Machine learning techniques to diagnose breast cancer from fine-needle aspirates
Detect breast cancer using fuzzy C means techniques in Wisconsin prognostic breast cancer (WPBC) data sets
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need most effective techniques to reduce breast cancer a death is detect it earlier http://cancernet.nci.nih.gov/ Wang, TC, Karayiannis NB, Detection of microcalcifications M., Association, statistical, mathematical and neural approaches for mining breast cancer patterns
A novel image segmentation technique for detection of breast cancer
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are first and second order provides an effective segmentation to detect the boundary The classification of the detected NN micro- calcification into benign (non-cancerous lesion) and ANOVEL IMAGE SEGMENTATION TECHNIQUE FOR DETECTION OF BREAST CANCER 203
Detection and shape feature extraction of breast tumor in mammograms
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modality for an early detection of breast carcinomas . If the tumor is detected at an studied the behavior of an iris filter at different scales to detect masses on HD Cheng, Xiaopeng Cai, Xiaowei Chen, Liming Hu, Xueling Lou, Computer-aided detection and classification
A survey of current image segmentation techniques for detection of breast cancer
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After the seed point has been detected random walk method is to be performed for The main objective of the vector quantization segmentation method to detect cancerous mass Jwad nagi automated breast profile segmentation for ROI detection using digital mammogram IEEE
Microwave medical imaging in a non-invasive breast cancer diagnosis system
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To detect microwave radiation we use the radiometer or we might Preliminary Results Regarding Abnormal Area Detection Preliminary results regarding abnormal area detection Man, symmetric (normal) radiation: false thermo-effects detected under heart activity influence
An Automated Segmentation Method for Tumor Detection in Breast Ultrasound Images
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The Computer Aided Diagnosis (CAD) system is a potential decision making tool for radiologists in order detect and diagnose the breast lesions between detected boundary and the manually delineated boundary SK Moore, Better breast cancer detection IEEE Spectr., 38
Breast cancer diagnosis using machine learning algorithms-a survey
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In this article the authors have discussed, how to detect tumor from Eddaoudi Fakhita Regragui Abdelhak Mahmoudi Najib Lamouri Masses Detection Using SVM A Novel SVM based CSSFFS Feature Selection Algorithm for Detecting Breast Cancer International Journal of
Microwave detection using real measurement data
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References DA Woten, J. Lusth and M. El-Shenawee, Interpreting Artificial Neural Networks for Microwave Detection of Breast Cancer IEEE Microw. Wireless Comp., Vol. 1 no. 1 Dec. 2007. M. El-Shenawee and E
An accurate computer method to assist physicians for breast cancer detection
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a region of interest (inside which microcalcifications be detected ) and discard all High sensitivity and noise immune method to detect impedance cardiography characteristic points Multiresolution-based segmentation of calcifications for early detection of breast cancer Real