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The use of a body-wide automatic anatomy recognition system in image analysis of kidneys
KTH, School of Technology and Health (STH). Royal Institute of Technology KTH STH, University of Pennsylvania. (Medical Imaging , Radiology Department)
2013 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Place, publisher, year, edition, pages
2013. , 50 p.
Series
TRITA-STH. EX 2013:119
Keyword [en]
Automatic Anatomy Recognition(AAR), Shape Modeling, Fuzzy Sets, Object Recognition, Segmentation, Fuzzy Connectedness, Fuzzy Models, Kidney Recognition
National Category
Medical Image Processing
Identifiers
URN: urn:nbn:se:kth:diva-133305OAI: oai:DiVA.org:kth-133305DiVA: diva2:660442
External cooperation
University of Pennsylvania -Radiology Department
Subject / course
Medical Imaging
Educational program
Master of Science - Medical Engineering
Presentation
2013-10-04, Video conference (By Skype), 4530 spruce St ,1D, PHILADELPHIA, 17:30 (English)
Supervisors
Examiners
Available from: 2014-01-30 Created: 2013-10-29 Last updated: 2014-01-30Bibliographically approved

Open Access in DiVA

Final thesis Seyedmehrdad Mohammadianrasanani(2638 kB)163 downloads
File information
File name FULLTEXT01.pdfFile size 2638 kBChecksum SHA-512
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Type fulltextMimetype application/pdf

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
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  • rtf