Remote Computer-Aided Breast Cancer Detection and Diagnosis System Based on Cytological Images
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Hala H. Zayed | Yasmeen M. George | Mohamed I. Roushdy | Bassant Mohamed Elbagoury | Hala H. Zayed | Mohamed Roushdy | B. Elbagoury | Y. George
[1] John C. Russ,et al. The Image Processing Handbook , 2016, Microscopy and Microanalysis.
[2] Jagath C. Rajapakse,et al. Segmentation of Clustered Nuclei With Shape Markers and Marking Function , 2009, IEEE Transactions on Biomedical Engineering.
[3] J. Saltz,et al. Image Analysis for Neuroblastoma Classification: Segmentation of Cell Nuclei , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.
[4] Andrzej Obuchowicz,et al. Segmentation of Breast Cancer Fine Needle Biopsy Cytological Images , 2008, Int. J. Appl. Math. Comput. Sci..
[5] W. N. Street,et al. Machine learning techniques to diagnose breast cancer from image-processed nuclear features of fine needle aspirates. , 1994, Cancer letters.
[6] Tulay Yildirim,et al. BREAST CANCER DIAGNOSIS USING STATISTICAL NEURAL NETWORKS , 2004 .
[7] Jiebo Luo,et al. Image segmentation via adaptive K-mean clustering and knowledge-based morphological operations with biomedical applications , 1998, IEEE Trans. Image Process..
[8] Karel J. Zuiderveld,et al. Contrast Limited Adaptive Histogram Equalization , 1994, Graphics Gems.
[9] Mohamed Roushdy. Detecting Coins with Different Radii based on Hough Transform in Noisy and Deformed Image , 2007 .
[10] Shekhar Singh,et al. Breast Cancer Detection and Classification of Histopathological Images , 2011 .
[11] Anne E Carpenter,et al. CellProfiler: image analysis software for identifying and quantifying cell phenotypes , 2006, Genome Biology.
[12] Z. Akhtar,et al. Comparison of accuracy of diagnostic modalities for evaluation of breast cancer with review of literature , 2009, Diagnostic cytopathology.
[13] H. Chan,et al. Advances in computer-aided diagnosis for breast cancer , 2006, Current opinion in obstetrics & gynecology.
[14] Christophoros Nikou,et al. Automated Detection of Cell Nuclei in Pap Smear Images Using Morphological Reconstruction and Clustering , 2011, IEEE Transactions on Information Technology in Biomedicine.
[15] Adam Krzyzak,et al. Classification of Breast Cancer Malignancy Using Cytological Images of Fine Needle Aspiration Biopsies , 2008, Int. J. Appl. Math. Comput. Sci..
[16] Mohd Yusoff Mashor,et al. Fine Needle Aspiration Cytology Evaluation for Classifying Breast Cancer Using Artificial Neural Network , 2007 .
[17] N. Otsu. A threshold selection method from gray level histograms , 1979 .
[18] Mohd Rizal Arshad,et al. Evaluation of Morphological Features for Breast Cells Classification Using Neural Networks , 2009, Tools and Applications with Artificial Intelligence.
[19] Marek Kowal,et al. COMPUTER-AIDED DIAGNOSIS OF BREAST CANCER USING GAUSSIAN MIXTURE CYTOLOGICAL IMAGE SEGMENTATION 2 , 2011 .
[20] Christophoros Nikou,et al. Watershed-based segmentation of cell nuclei boundaries in Pap smear images , 2010, Proceedings of the 10th IEEE International Conference on Information Technology and Applications in Biomedicine.
[21] Meng Wang,et al. Novel cell segmentation and online SVM for cell cycle phase identification in automated microscopy , 2008, Bioinform..
[22] Peter Meer,et al. Unsupervised segmentation based on robust estimation and color active contour models , 2005, IEEE Transactions on Information Technology in Biomedicine.
[23] Christophoros Nikou,et al. Combining shape, texture and intensity features for cell nuclei extraction in Pap smear images , 2011, Pattern Recognit. Lett..
[24] B. Santhi,et al. COMPARATIVE STUDY ON FEATURE EXTRACTION METHOD FOR BREAST CANCER CLASSIFICATION , 2012 .
[25] Nello Cristianini,et al. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods , 2000 .
[26] Xiaobo Zhou,et al. A Novel Cell Segmentation Method and Cell Phase Identification Using Markov Model , 2009, IEEE Transactions on Information Technology in Biomedicine.
[27] E. Burnside,et al. Computer-aided diagnostic models in breast cancer screening. , 2010, Imaging in medicine.
[28] I Hüttner,et al. Fine‐needle aspiration cytology of pleomorphic lobular carcinoma of the breast , 1997, Cancer.
[29] Sankar K. Pal,et al. Fuzzy models for pattern recognition , 1992 .
[30] P. Tan,et al. Fine Needle Aspiration Cytology of the Breast: The Nonmalignant Categories , 2011, Pathology research international.
[31] Teuvo Kohonen,et al. The self-organizing map , 1990 .
[32] Monika Jain,et al. An Analysis of the Methods Employed for Breast Cancer Diagnosis , 2012, ArXiv.
[33] W. N. Street,et al. Xcyt: a System for Remote Cytological Diagnosis and Prognosis of Breast Cancer , 2000 .
[34] Takashi Ishikawa,et al. False-positive and false-negative cases of fine-needle aspiration cytology for palpable breast lesions , 2007, Breast cancer.
[35] Marek Kowal,et al. Feature selection for breast cancer malignancy classification problem , 2010 .
[36] Marek Kowal,et al. COMPUTER-AIDED DIAGNOSIS OF BREAST CANCER USING GAUSSIAN MIXTURE CYTOLOGICAL IMAGE SEGMENTATION , 2011 .
[37] Xiaobo Zhou,et al. Nuclei Segmentation Using Marker-Controlled Watershed, Tracking Using Mean-Shift, and Kalman Filter in Time-Lapse Microscopy , 2006, IEEE Transactions on Circuits and Systems I: Regular Papers.