Back to Projects List
We want to implement a neural network based automatic segmentation algorithm to segment the upper region of airways in CT images. We have approximately 40 non segmented CT images of the neck in DICOM files, that we have to segment for the training phase. For medical or biological images is a great solution the U-net, that is a special type of neural networks. To compare with other neural network based algorithm, U-net doesn’t need large dataset (~30-40 images enough).
We made some segmentation mask in Slicer, using Segment editor’s fill between slices tool.
Keras, a neural network package in python: