Train AI for landmark detection

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1

Hi,

I’d like to ask here which are community suggestions about selecting an AI model and setting up training data for a medical landmark detection task.

In my use case, I need to detect the superior tip of healthy kidneys on CBCTs. I have a training dataset with around 150 CBCTs with the corresponding landmarks (CBCT on .nrrd files and points in .mrk.json files). I think my training data (i.e. sup kidney tips) could have till a 1cm error. Current training shows 70% accuracy and I don’t expect it to get higher. So I assume the model won’t work after training but that will have to wait a few days (till the training ends)

More information: same use case with same AI model but targeting CTs instead of CBCTs for training, even with halve of training data (e.g. around 70 CTs), had 95% accuracy during training and my tests show it working

2

Hello,

could you please elaborate what is in your case accuracy? I am curious because from reading your description you have to use distance metrics instead of accuracy.

3

if the points are paired, you can use the algorithm:

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