1. Shodhganga@INFLIBNET
  2. The Gandhigram Rural Institute
  3. Department of Computer Science and Applications
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/360313
Title: Fully automatic methods for brain tumor analysis and prediction of survival rate using MRI of human head scans
Researcher: Kalaichelvi, N.
Guide(s): Kalaiselvi, T.
Keywords: Brain Tumor Analysis
Computer Science
Computer Science Artificial Intelligence
CUDA
Engineering and Technology
Fuzzy c-means
Graphics processing unit
Gray matter
Image Processing
Parallel processing
University: The Gandhigram Rural Institute
Completed Date: 2021
Abstract: newline
Pagination: xvi, 191p.
URI: http://hdl.handle.net/10603/360313
Appears in Departments:Department of Computer Science and Applications

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File58.51 kBAdobe PDFView/Open
02_certificate.pdf129.57 kBAdobe PDFView/Open
03_declaration.pdf65.59 kBAdobe PDFView/Open
04_acknowledgement.pdf14.02 kBAdobe PDFView/Open
05_contents.pdf172.04 kBAdobe PDFView/Open
06_symbols.pdf386.17 kBAdobe PDFView/Open
07_abbreviations.pdf210.32 kBAdobe PDFView/Open
08_list of tables.pdf284.06 kBAdobe PDFView/Open
09_list of figures.pdf205.98 kBAdobe PDFView/Open
10_abstract.pdf102.93 kBAdobe PDFView/Open
11_chapter 1.pdf1.2 MBAdobe PDFView/Open
12_chapter 2.pdf992.28 kBAdobe PDFView/Open
13_chapter 3.pdf709.38 kBAdobe PDFView/Open
14_chapter 4.pdf1.55 MBAdobe PDFView/Open
15_chapter 5.pdf1.36 MBAdobe PDFView/Open
16_chapter 6.pdf414.88 kBAdobe PDFView/Open
17_chapter 7.pdf91.31 kBAdobe PDFView/Open
18_bibliography.pdf127.19 kBAdobe PDFView/Open
19_appendix.pdf161.14 kBAdobe PDFView/Open
80_recommendation.pdf147.38 kBAdobe PDFView/Open
Show full item record


Items in Shodhganga are licensed under Creative Commons Licence Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).

Altmetric Badge: