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- 1Brain tumors
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- 1Feature Extraction
- 1Magnetic Resonance Imaging
- 1Markov Shape Theory
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2002
Fortin, David, Antoniu, Angela, Sardarli, Arzu, Rezania, Vahid, Levner, Ilya, Bulitko, Vadim
Technical report TR02-14. The 2002 Quantum Computing Summer School (QCSS'02) at the University of Alberta was organized as a learning and discussion forum for researchers in Artificial Intelligence, Computer Science, Physics, Mathematics, and Engineering. The short-term objective was to introduce...
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2004
Technical report TR04-10. This report overviews the Mass Spectrometry Data Classification and Feature Extraction problem. After reviewing previous research new classification and feature extraction techniques are presented and empirically evaluated on three data sets. One of the key points made...
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2005
Greiner, Russell, Schmidt, Mark, Levner, Ilya
Technical report TR05-19. Detecting and segmenting brain tumors in Magnetic Resonance Images (MRI) is an important but time-consuming task performed by medical experts. Automating this process is a challenging task due to the often high degree of intensity and textural similarity between normal...
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2002
Technical report TR02-18. This paper surveys the various techniques for shape recognition and analysis with emphasis on robustness. Specifically, a review of boundary shape analysis methods and techniques is presented followed by description and experimental results of a new technique, based on...