Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/24671
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dc.coverage.spatialCertain investigations on bone age assessment using Geometric featuresen_US
dc.date.accessioned2014-09-05T09:11:28Z-
dc.date.available2014-09-05T09:11:28Z-
dc.date.issued2014-09-05-
dc.identifier.urihttp://hdl.handle.net/10603/24671-
dc.description.abstractThe thesis reports four new computerized methods for Bone Age Assessment to estimate the bone age of a child from his her hand wrist radiograph BAA is very significant in the area of pediatrics especially in relation to endocrino logical problems and growth disorders Based on the skeletal development of the left hand wrist bone age is assessed and compared with the chronological age A remarkable difference between the two is an indication of growth abnormalities This practice is used in the management and diagnosis of endocrine disorders and also in monitoring the therapeutic effect of treatment The main clinical methods for skeletal bone age estimation are the Greulich and Pyle method and the Tanner and Whitehouse method GP is an atlas matching method while TW is a score assigning method TW method is more accurate of the two It is technically feasible to automate BAA and much research has been undertaken to computerize the TW method This research is undertaken to develop new promising techniques for computerized BAA with improved accuracy specificity precision and recall The objectives of the research are to study the existing techniques available for newlineBAA to develop new convex hull approach for BAA from carpal bones to propose newlinenew feature ratio approach for BAA from carpal and radius bones, to develop new decision tree approach for BAA from radius and ulna bones to propose new Hausdorff distance approach for BAA from the Epiphysis Metaphysis Region of Interest of phalangeal bones to analyze and compare the performance of the proposed four BAA methods using Partitioning technique and to optimize the performance of BAA by the proposed four BAA approaches newline newlineen_US
dc.format.extentxix, 99p.en_US
dc.languageEnglishen_US
dc.relationp.93-97.en_US
dc.rightsuniversityen_US
dc.titleCertain investigations on bone age assessment using geometric featuresen_US
dc.title.alternativeen_US
dc.creator.researcherThangam Pen_US
dc.subject.keywordBone Age Assessmenten_US
dc.subject.keywordCarpal Region of Interest Ratioen_US
dc.subject.keywordGeometricen_US
dc.subject.keywordGreulich and Pyleen_US
dc.subject.keywordInformation and communication engineeringen_US
dc.subject.keywordRadius Region of Interest Ratioen_US
dc.subject.keywordTanner and Whitehouseen_US
dc.description.noteAppendix p.91-92, References p.93-97.en_US
dc.contributor.guideThanushkodi Ken_US
dc.publisher.placeChennaien_US
dc.publisher.universityAnna Universityen_US
dc.publisher.institutionFaculty of Information and Communication Engineeringen_US
dc.date.registeredn.d.en_US
dc.date.completed01/11/2013en_US
dc.date.awarded30/11/2013en_US
dc.format.dimensions23cm.en_US
dc.format.accompanyingmaterialNoneen_US
dc.source.universityUniversityen_US
dc.type.degreePh.D.en_US
Appears in Departments:Faculty of Information and Communication Engineering

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02_certificate.pdf1.08 MBAdobe PDFView/Open
03_abstract.pdf15.35 kBAdobe PDFView/Open
04_acknowledgement.pdf6.81 kBAdobe PDFView/Open
05_contents.pdf35.3 kBAdobe PDFView/Open
06_chapter1.pdf134.08 kBAdobe PDFView/Open
07_chapter2.pdf74.72 kBAdobe PDFView/Open
08_chapter3.pdf305.08 kBAdobe PDFView/Open
09_chapter4.pdf187.6 kBAdobe PDFView/Open
10_chapter5.pdf273.49 kBAdobe PDFView/Open
11_chapter6.pdf275.64 kBAdobe PDFView/Open
12_chapter7.pdf151.06 kBAdobe PDFView/Open
13_chapter8.pdf21.44 kBAdobe PDFView/Open
14_appendix.pdf233.5 kBAdobe PDFView/Open
15_references.pdf197.24 kBAdobe PDFView/Open
16_publications.pdf30.89 kBAdobe PDFView/Open
17_vitae.pdf7.2 kBAdobe PDFView/Open


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