Segmenting brain tumors using alignment-based features

@article{Schmidt2005SegmentingBT,
  title={Segmenting brain tumors using alignment-based features},
  author={Mark W. Schmidt and Ilya Levner and Russell Greiner and Albert Murtha and Aalo Bistritz},
  journal={Fourth International Conference on Machine Learning and Applications (ICMLA'05)},
  year={2005},
  pages={6 pp.-}
}
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 areas and tumor areas. Several recent projects have explored ways to use an aligned spatial 'template' image to incorporate spatial anatomic information about the brain, but it is not obvious what types of aligned information… CONTINUE READING
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