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Mufti-Dimensional Polarimetric Pattern Recognition & Classification Techniques for Immunohistochemical Imaging of Cancer

Deshpande, Aditi
http://rave.ohiolink.edu/etdc/view?acc_num=akron1399573035

Abstract Details

2014, Master of Science in Engineering, University of Akron, Biomedical Engineering.
The most important step in treating cancer is an accurate early diagnosis and proper surgical removal. In the first part of this study, statistical data mining techniques were applied to discriminate the polarimetric backscattered signals of different kinds of cancer (Squamous carcinoma and Adenocarcinoma) from each other and from normal healthy cells which included pattern recognition techniques such as KNN classification, K means clustering and fractal analysis. This classification was performed on the standard polarimetric properties of these tissues such as Depolarization, Diattenuation, Retardance, etc. The other section of this study involves an image processing system which aims at enhancing the imaging of tumor margins for efficient surgical removal of tumors based on a proper demarcation of their boundaries. This is achieved by performing thresholding-based image segmentation and statistical texture feature extraction. Clustering based techniques such as Otsu thresholding, Entropy segmentation and Mean Shift Segmentation were applied to improve the tumor demarcation and then statistical texture analysis was performed for feature extraction, followed by edge detection and contour mapping to analyze the tumor margins and their delineation.
George Giakos, Dr. (Advisor)
Dale Mugler, Dr. (Committee Member)
Narender Reddy, Dr. (Committee Member)
117 p.
Biomedical Engineering; Medical Imaging
imaging, image processing, imaging of tumor margins, cancer classification, pattern recognition

Recommended Citations

Citations

  • Deshpande, A. (2014). Mufti-Dimensional Polarimetric Pattern Recognition & Classification Techniques for Immunohistochemical Imaging of Cancer [Master's thesis, University of Akron]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=akron1399573035

    APA Style (7th edition)

  • Deshpande, Aditi. Mufti-Dimensional Polarimetric Pattern Recognition & Classification Techniques for Immunohistochemical Imaging of Cancer. 2014. University of Akron, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=akron1399573035.

    MLA Style (8th edition)

  • Deshpande, Aditi. "Mufti-Dimensional Polarimetric Pattern Recognition & Classification Techniques for Immunohistochemical Imaging of Cancer." Master's thesis, University of Akron, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=akron1399573035

    Chicago Manual of Style (17th edition)

akron1399573035
939
© 2014, some rights reserved.Creative Commons License Mufti-Dimensional Polarimetric Pattern Recognition & Classification Techniques for Immunohistochemical Imaging of Cancer by Aditi Deshpande is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by University of Akron and OhioLINK.