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 |
Files in This Item:
File | Description | Size | Format | |
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01_title.pdf | Attached File | 49.97 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 221.89 kB | Adobe PDF | View/Open | |
03_contents.pdf | 98.29 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 100.53 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 236.5 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 13.43 MB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 857.18 kB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 613.65 kB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 12.31 MB | Adobe PDF | View/Open | |
11_bibliography.pdf | 159.79 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 298.14 kB | Adobe PDF | View/Open |
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