Datastore Mask R-CNN for kidney segmentation

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I have
  • several CT images 512x512 with normalized values between 0 and 1. Basically 2dimensional black white images
  • Kidney labels for each images with 0 or 1
  • for each image 2 boxes with x,y,height, width (for each kidney of the human)
  • and the labels I could generate (always 'kidney' I guess?)
How do I generate a datastore to train the network, as described here under "Create Datastore":
They convert it somehow from some MAT files with some custom function, hence I do not know how to assemble my own training data into a data store

Accepted Answer

Prince Kumar
Prince Kumar on 6 Apr 2022
Hi,
Please read the "Create Datastore that Reads Data" section from the following documentation.
You can also read Datastores for deep learning for more understanding.
Hope this helps!
  3 Comments
Odo Luo
Odo Luo on 11 Apr 2022
Thank you for your help!
I have a more concrete question regarding the image datastore and made a seperate question!
But you put me on the right track, lots of thanks!

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