Data sets

IXI dataset : http://brain-development.org/ixi-dataset/ multi-atlas labelling challenge (MALC) dataset ANDI

One-Pass Multi-task convolutional Neural Networks for Efficient Brain Tumor Segmentation

• Contribution: light and clean deep model that conducts brain tumor segmentation in a single-pass and solves the class imbalance problem better than model cascade.
  1. decompose brain tumor segmentation into three different but related tasks and propose a multi-task deep model that trains them together to exploit their underlying correlation.
  2. design a curriculum learning-based training strategy that trains the above multi-task model more effectively.
  3. Introduce a simple effective post-processing method that can further improve the segmentation performance.

GM SPINAL CORD SEGMENTATION CHALLENGE DATA