Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/444159
Title: Development of Image Processing and Machine Learning Based Techniques for Microscopic Cell Image Analysis
Researcher: Sharma, Mukta
Guide(s): Bhattacharya, Mahua
Keywords: Computer Science
Computer Science Information Systems
Engineering and Technology
University: Atal Bihari Vajpayee Indian Institute of Information Technology and Management
Completed Date: 2021
Abstract: Recent trends in imaging technologies have simplified the acquisition process of microscopic data. Moreover due to computer-aided technologies tremendous popularity image processing techniques became one of the most vital and speedily employed in a maximum number of applications particularly in medical imaging (MI). The basic plan of the medical image analysis is to enhanced the imaging content. A typical MI system consists of 5 main process steps: image acquisition enhancement segmentation feature extraction/selection and classification. Many recent advances have occurred in the medical imaging domain to automate medical experts diagnostic procedures by following the standard pipeline. newline
Pagination: xxi,185p.
URI: http://hdl.handle.net/10603/444159
Appears in Departments:Department of Information Technology

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02_prelim pages.pdf221.89 kBAdobe PDFView/Open
03_contents.pdf98.29 kBAdobe PDFView/Open
04_abstract.pdf100.53 kBAdobe PDFView/Open
06_chapter 2.pdf236.5 kBAdobe PDFView/Open
07_chapter 3.pdf13.43 MBAdobe PDFView/Open
08_chapter 4.pdf857.18 kBAdobe PDFView/Open
09_chapter 5.pdf613.65 kBAdobe PDFView/Open
10_chapter 6.pdf12.31 MBAdobe PDFView/Open
11_bibliography.pdf159.79 kBAdobe PDFView/Open
80_recommendation.pdf298.14 kBAdobe PDFView/Open
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