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Train a MULTI-CHANNEL model from scratch on dcm-zurich-lesions
datasets using nnUNet
#5
Comments
Potential future idea for another MULTI-CHANNEL model: "channel_names": {
"0": "acq-ax_T2w",
"1": "compression_label"
}, But we currently do not have the compression labels for |
Since the multi-channel model with the default |
Training the multi-channel |
`dcm-zurich-lesions`
`dcm-zurich-lesions-20231115`
|
This issue summarizes experiments related to
Dataset602_DCMlesionsMultiChannel
(multi-channel model trained using T2w_ax and SC seg as input channels to segment lesions).dataset.json
:nnUNetPlans.json
Dataset602_DCMlesionsMultiChannel
will be trained ondcm-zurich-lesions
anddcm-zurich-lesions-20231115
datasets using nnUNetv2.Manual lesion GTs are available for both datasets.
TODO
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