Training Model Head/Neck CTs with groundtruth segmentation and volume .nrrd files #1593
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danielsh3n
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Hi @danielsh3n, This is a good question. Certainly, you can train a MONAI Label model for this. Please follow these instructions They are simple. Once you create the Python env, install monai label and download the Radiology app (https://github.com/Project-MONAI/MONAILabel/tree/main#getting-started-with-monai-label).
let us know how that goes |
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I am hoping to train a 3D U-Net model on lymphatic/fatty tissue in the head and neck. Regarding my dataset, I have 18 cases along with their manual segmentations (done in 3DSlicer) in .nrrd files. Is it possible for me to use MONAILabel to train and test on this dataset?
@hw-ju
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