Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/121882
Title: A novel framework for cloud based analytics of massive and multi structured healthcare images for real time insights
Researcher: Augustine, Peter D
Guide(s): Raj, Pethuru
Keywords: Brain MRI segmentation
Cloud Computing
Distributed Computing
Medical Image Processing
Parallel Genetic Algorithm
University: CHRIST University
Completed Date: 11-05-2016
Abstract: The dependency of healthcare industry on the information and communication technology newline(ICT) domain is consistently on the rise in order to conceptualize and provide1537608 newlinesophisticated services to various newlinestakeholders including patients, newlinecaregivers, support service providers, medical practitioners, and experts. There are a variety of decisive advancements in the diagnosis, medication and surgical processes, medical electronics, instruments and equipment, healthcare-centric robots, a bevy of cloud-based healthcare software solutions, medical data hubs, etc. One direct offshoot of all these developments is that the amount of multi-structured data is exponentially growing. There is a litany of support and expert systems in order to lessen the doctors workloads. However the brewing challenges and new-generation requirements include the real-time processing of medical data to extract real-time insights and decision-enablement, the substantial enhancements in appropriate and accurate processing and understanding of various and overlapped symptoms towards correct and strategically sound decisions, the real-time analytics of medical data, the empowerment of medical devices to assist surgeons and specialists in performing their tasks in an assured manner, etc. newlineThe Problem Description - Medical imaging is one of the fundamental and most important areas of the healthcare system. This needs accuracy in processing and producing best results for further diagnosis and action. There are various factors impelling medical imaging like patient preparation, different scanning modalities, the scanner used to capture the image and various algorithms adopted for processing the captured images. newline
Pagination: A4
URI: http://hdl.handle.net/10603/121882
Appears in Departments:Department of Computer Science

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File45.52 kBAdobe PDFView/Open
02_certificate.pdf151.26 kBAdobe PDFView/Open
03_abstract.pdf110.28 kBAdobe PDFView/Open
04_declaration.pdf93.54 kBAdobe PDFView/Open
05_acknowledgement.pdf161.42 kBAdobe PDFView/Open
06_contents.pdf14.77 kBAdobe PDFView/Open
07_list_of_tables.pdf82.43 kBAdobe PDFView/Open
08_list_of_figures.pdf83.22 kBAdobe PDFView/Open
09_chapter 1.pdf416.78 kBAdobe PDFView/Open
10_chapter 2.pdf260.57 kBAdobe PDFView/Open
11_chapter 3.pdf184.3 kBAdobe PDFView/Open
12_chapter 4.pdf911.2 kBAdobe PDFView/Open
13_chapter 5.pdf151.55 kBAdobe PDFView/Open
14_bibliography.pdf300.91 kBAdobe PDFView/Open


Items in Shodhganga are protected by copyright, with all rights reserved, unless otherwise indicated.