Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/181051
Title: | MRI brain tumor classification using supervised and unsupervised adaptive segmentation technique |
Researcher: | V, Anitha |
Guide(s): | Murugavalli, S |
Keywords: | Adaptive Brain Radiologic Segmentation Technique |
University: | Anna University |
Completed Date: | 2016 |
Abstract: | Abstract available |
Pagination: | xxiii, 156p. |
URI: | http://hdl.handle.net/10603/181051 |
Appears in Departments: | Faculty of Information and Communication Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title page.pdf | Attached File | 23.54 kB | Adobe PDF | View/Open |
02_certificate.pdf | 865.58 kB | Adobe PDF | View/Open | |
03_abstract.pdf | 11.39 kB | Adobe PDF | View/Open | |
04_acknowledgement.pdf | 9.26 kB | Adobe PDF | View/Open | |
05_table of content.pdf | 20.48 kB | Adobe PDF | View/Open | |
06_list of table.pdf | 6.55 kB | Adobe PDF | View/Open | |
07_list of figures.pdf | 21.33 kB | Adobe PDF | View/Open | |
08_abbreviations and symbols.pdf | 119.84 kB | Adobe PDF | View/Open | |
09_chapter 1.pdf | 472.95 kB | Adobe PDF | View/Open | |
10_chapter 2.pdf | 235.93 kB | Adobe PDF | View/Open | |
11_chapter 3.pdf | 556.27 kB | Adobe PDF | View/Open | |
12_chapter 4.pdf | 1.23 MB | Adobe PDF | View/Open | |
13_results and conclusions.pdf | 143.05 kB | Adobe PDF | View/Open | |
14_references.pdf | 160.59 kB | Adobe PDF | View/Open | |
15_list of publication.pdf | 9.79 kB | Adobe PDF | View/Open |
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