Project-MONAI / Project-MONAI/tutorials

MAISI mask autoencoder

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Description

Hi,

Thanks for your great work with MAISI. The mask_generation_autoencoder has 8 input channels. What is the kind of data that is required as input?
Would you have an example on how to use the mask autoencoder alone, without the diffusion part based on the provided data description for mask_pseudo_label*.nii.gz ?

"mask_generation_autoencoder_def": {
    "_target_": "monai.apps.generation.maisi.networks.autoencoderkl_maisi.AutoencoderKlMaisi",
    "spatial_dims": "@spatial_dims",
    "in_channels": 8,
    "out_channels": 125,

Thanks,
Christian

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Research direction

Start with the MAISI mask_generation_autoencoder configuration and the provided mask_pseudo_label*.nii.gz data description. Determine the expected eight-channel input and document a standalone mask autoencoder example; done when the input format and usage are clear without relying on the diffusion workflow.

Written by the indexing model from the issue text.

Assessment

Tech stack
jupyter-notebook, pytorch
Domain
documentation, machine-learning
Issue type
Documentation
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
25/100

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