How to use neural network to perform image segmentation?
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I have a clinical need to perform lung segmentation on AP and PA chest radiographs. Using conventional segmentation techniques (thresholding, etc.) the adult lung is fairly easy to segment using automated methods. However, pediatric lungs are exceedingly difficult for a variety of reasons. My thought is to train a neural network to perform the task of lung identification using a set of manually segmented masks for training. Given that I know very little about neural networks, is there anyone who can help get me started by pointing me to some existing code, text, or other resource? Thanks in advance.
Example: Original Image
Example: Segmented Lung Mask
Gautham Sholingar 2017년 7월 17일
I understand that neural networks might seem like a useful avenue to try. Neural networks are useful for object detection and classification but segmentation might prove difficult especially since the regions change for every image. You will need a very large dataset and a custom neural network to make some progress in this area.
As of this stage it will be useful to understand the differences between adult and pediatric X-rays and how they affect the segmentation.
Could you explain why simple morphological segmentation is not yielding meaningful results for pediatric X-rays when it can yield good results for adult lungs?
It would also be useful to try the Image Segmenter App which is useful in such applications: http://www.mathworks.com/help/images/ref/imagesegmenter-app.html