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Ultrasound Medical Imaging Systems Using Telemedicine and Blockchain for Remote Monitoring of Responses to Neoadjuvant Chemotherapy in Women’s Breast Cancer: Concept and Implementation

Shubbar, Safa
http://rave.ohiolink.edu/etdc/view?acc_num=kent1493646959335823

Abstract Details

2017, MS, Kent State University, College of Arts and Sciences / Department of Computer Science.
Malignant tumors are a worldwide concern. Breast cancer is the most common cause of death among women and is ranked as the second most serious malignant tumor in women, after lung cancer. Consequently, different techniques and technologies have been studied, researched, and developed to detect breast cancer at an early stage. Early diagnosis contributes to the preservation of lives in both developed and developing countries. The survival rate increases dramatically when the cancer tumors are discovered via a screening process before the appearance of cancer symptoms. Therefore, monitoring the responses of breast cancer patients and detecting the presence of new lesions are the main intended outcomes of this research. In this research, we use a breast ultrasound imaging technique to monitor the response of breast cancer patients who receive neoadjuvant chemotherapy (the systemic therapy of breast cancer before surgical therapy), as well as detecting new tumors which may arise during treatment. In this technique, the Support Vector Machine (SVM) algorithm is used for image classification, and the regionprops tool in Matlab is used for calculating the tumor size. SVM is a supervised learning method that is used for classification and regression predictive problems. In this work, SVM is considered as a binary classifier by which the abnormalities in the breast tissues can be distinguished, and then it can be determined whether these abnormalities are cancerous or not. To establish remote healthcare to monitor cancerous tumors treatments, telecommunication infrastructure through primarily Teleradiology and blockchain technology along with smart contract will be used. Blockchain technology is deemed as one of the main components of Bitcoin cryptocurrency. The smart contract concept is a collection of code that is governing something important or valuable in the blockchain. This remote healthcare will be achieved through specialized medical centers as well as technologies in patient homes. Based on prior research in the area of medical imaging techniques, the Support Vector Machines algorithm has the capability to achieve precise approximations with fast convergence. Additionally, the SVM algorithm has other features (e.g., it is computationally less expensive and yields good results based on strong mathematical foundations) which satisfy the best requirements of breast imaging technology.
Austin Melton (Advisor)
Angela Guercio (Committee Member)
Gokarna Sharma (Committee Member)
132 p.
Computer Science; Medical Imaging
Ultrasound Breast Cancer Imaging, Neoadjuvant Chemotherapy, SVM Algorithm, Telemedicine and Blockchain

Recommended Citations

Citations

  • Shubbar, S. (2017). Ultrasound Medical Imaging Systems Using Telemedicine and Blockchain for Remote Monitoring of Responses to Neoadjuvant Chemotherapy in Women’s Breast Cancer: Concept and Implementation [Master's thesis, Kent State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=kent1493646959335823

    APA Style (7th edition)

  • Shubbar, Safa. Ultrasound Medical Imaging Systems Using Telemedicine and Blockchain for Remote Monitoring of Responses to Neoadjuvant Chemotherapy in Women’s Breast Cancer: Concept and Implementation . 2017. Kent State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=kent1493646959335823.

    MLA Style (8th edition)

  • Shubbar, Safa. "Ultrasound Medical Imaging Systems Using Telemedicine and Blockchain for Remote Monitoring of Responses to Neoadjuvant Chemotherapy in Women’s Breast Cancer: Concept and Implementation ." Master's thesis, Kent State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=kent1493646959335823

    Chicago Manual of Style (17th edition)

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This open access ETD is published by Kent State University and OhioLINK.