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

Simple item page
dc.contributor.guideMythili T
dc.coverage.spatialComputer science
dc.creator.researcherVasumathy M
dc.date.accessioned2020-03-19T11:36:10Z
dc.date.available2020-03-19T11:36:10Z
dc.date.awardedn.d.
dc.date.completed2019
dc.date.registeredn.d.
dc.description.abstractfile attached
dc.description.notereferences p.85-92
dc.format.accompanyingmaterialNone
dc.format.dimensions-
dc.format.extent136 p.
dc.identifier.urihttp://hdl.handle.net/10603/282723
dc.languageEnglish
dc.publisher.institutionSchool of Computing Science and Engineering
dc.publisher.placeVellore
dc.publisher.universityVIT University
dc.relation-
dc.rightsuniversity
dc.source.inflibnetINFLIBNET
dc.subject.keywordAutomation and Control Systems
dc.subject.keywordComputer Science
dc.subject.keywordDigital Object Identifiers
dc.subject.keywordEngineering and Technology
dc.subject.keywordPediatric cardiology--Diagnosis
dc.subject.keywordPhotography--Scientific applications
dc.subject.keywordRadiography
dc.subject.keywordRadiology
dc.titleAn automated framework for intrude object identification of foreign body aspired pediatric radiographic images
dc.title.alternative-
dc.type.degreePh.D.

Files

License bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.79 KB
Format:
Plain Text
Description:
Download

Collections

School of Computing Science and Engineering