Brain tumor segmentation is essential for treatment planning
and follow-up assessment. While many automatic algorithms
have been proposed in the literature [16, 14, 23,
18], these have not made it into clinical use. Thus in practice,
radiation oncologists spend a substantial portion of
their time performing the segmentation task manually using
one of the available visualization and segmentation tools
(e.g., [24]). This is mainly due to tumor segmentation being
a very difficult task [21]; therefore, there will always be
cases when the automatic methods fail or perform poorly.
Another consideration is that medical doctors must always
have final control over the segmentation