Detection model in the model zoo, does not support datasets with no nodules

Hello
The Monai bundles are convenient to use because all the config for traning, transforms etc are specifyable easily as JSON and we are fortunate to have such a turnkey way of training the detection pipeline. The reference Lung Nodule detection, which is really the only detection in the model zoo, does not support datasets with no nodules, which would be a very odd thing to do in the medical field, because one would expect several healthy patients with no lung nodule. A medical detection network that is trained only on diseased samples is flawed right in its data input distribution. I am guessing that something like StandardizeEmptyBoxd needs to be added to the _transforms section of the lung_nodule_ct_detection/configs/train.json of the model zoo https://github.com/Project-MONAI/model-zoo/releases/download/hosting_storage_v1/lung_nodule_ct_detection_v0.5.9.zip. Any guidance would be appreciated.

Thanks
Rajesh

Unpack the lung_nodule_ct_detection_v0.5.9.zip model bundle and inspect lung_nodule_ct_detection/configs/train.json, especially its transforms configuration. Check how StandardizeEmptyBoxd relates to datasets without nodules, then verify that the training configuration accepts such samples without breaking the existing detection workflow.