An automated framework for intrude object identification of foreign body aspired pediatric radiographic images

Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/282723

Title:	An automated framework for intrude object identification of foreign body aspired pediatric radiographic images
Researcher:	Vasumathy M
Guide(s):	Mythili T
Keywords:	Automation and Control Systems Computer Science Digital Object Identifiers Engineering and Technology Pediatric cardiology--Diagnosis Photography--Scientific applications Radiography Radiology
University:	VIT University
Completed Date:	2019
Abstract:	file attached
Pagination:	136 p.
URI:	http://hdl.handle.net/10603/282723
Appears in Departments:	School of Computing Science and Engineering

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01_title.pdf	Attached File	295.34 kB	Adobe PDF	View/Open Request a copy
02_declaration.pdf		73.64 kB	Adobe PDF	View/Open Request a copy
03_certificate.pdf		72.67 kB	Adobe PDF	View/Open Request a copy
04_abstract.pdf		58.96 kB	Adobe PDF	View/Open Request a copy
05_content.pdf		510.1 kB	Adobe PDF	View/Open Request a copy
06_chapter 1.pdf		498.9 kB	Adobe PDF	View/Open Request a copy
07_chapter 2.pdf		698.07 kB	Adobe PDF	View/Open Request a copy
08_chapter 3.pdf		1.08 MB	Adobe PDF	View/Open Request a copy
09_chapter 4.pdf		1.51 MB	Adobe PDF	View/Open Request a copy
10_chapter 5.pdf		1.88 MB	Adobe PDF	View/Open Request a copy
11_chapter 6.pdf		3.45 MB	Adobe PDF	View/Open Request a copy
12_chapter 7.pdf		63.8 kB	Adobe PDF	View/Open Request a copy
13_references, list of publications.pdf		5.65 MB	Adobe PDF	View/Open Request a copy

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