Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/465073
Title: | Feature Extraction and Classification of Ultrasound Images for Polycystic Ovary Syndrome Detection using Deep learning techniques |
Researcher: | Vasavi,G |
Guide(s): | Jyothi, S |
Keywords: | Computer Science Computer Science Artificial Intelligence Engineering and Technology |
University: | Sri Padmavathi Womens University |
Completed Date: | 2021 |
Abstract: | newline |
URI: | http://hdl.handle.net/10603/465073 |
Appears in Departments: | Department of Computer Science |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
011_chpater 6.pdf | Attached File | 193.18 kB | Adobe PDF | View/Open |
01_title .pdf | 759.14 kB | Adobe PDF | View/Open | |
02_prelimnary.pdf | 1.82 MB | Adobe PDF | View/Open | |
03_content .pdf | 296.09 kB | Adobe PDF | View/Open | |
04_abstract .pdf | 279.62 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 267.83 kB | Adobe PDF | View/Open | |
06_chpater 2.pdf | 714.13 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 1.75 MB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 1.77 MB | Adobe PDF | View/Open | |
09_chpater 5.pdf | 1.95 MB | Adobe PDF | View/Open | |
10_annexure.pdf | 548.69 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 948.79 kB | Adobe PDF | View/Open |
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