Air segmentation using MONAILabel_improve accuracy

Spiros_Karkavitsas
Mon, 15 May 2023 22:11:20 +0000
Support

Hello everyone

Currently, I am trying to use MONAILabel to train a model for air segmentation of MR images in the pelvic region. The approach I used was : 1) Create an already air annotated dataset
2) Use the radiology app and train a model from scratch.

However, the model accuracy using the default settings (e.g. random active strategy) is limited in 0.7 % which is low in my case.

Do you know any more detailed way of increasing the model performance? One way I thought would be to create more annotated data and use it a training dataset. However, this is time consuming.
What do you suggest?

Thank you for your time in this.

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