Automatic Brain Tumor Segmentation

@inproceedings{Schmidt2005AutomaticBT,
  title={Automatic Brain Tumor Segmentation},
  author={Mark W. Schmidt},
  year={2005}
}
This thesis addresses the task of automatically segmenting brain tumors and edema in magnetic resonance images. This is motivated by potential applications in assessing tumor growth, assessing treatment responses, enhancing computer-assisted surgery, planning radiation therapy, and constructing tumor growth models. The presented framework forms an image processing pipeline, consisting of noise reduction, spatial registration, intensity standardization, feature extraction, pixel classification… CONTINUE READING

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