How to start with monailabel for new models

[mikebind (Mike Bindschadler)]

Thanks so much for all of these details, @muratmaga! One thing I wondered about was since I am starting on just a single label, is there a pretrained model that I can start from? I read in @mangotee 's comment above that it sounds like this might be both possible and more quickly effective than training a new model from scratch. Back then (about 6 months ago), it sounds like there was more of a distinction between single label and multilabel models, and that the approach has become more unified since then. I understand that pretrained models are structured for a particular number of output labels, and that changing the number or labels means that a model needs to be trained from scratch. However, I also understand that when possible, transfer learning, where a model pre-trained on one task undergoes subsequent training to adapt it to another somewhat similar task, often works quite well. So, that’s why I’m interested in whether there is a way to start from some other single label model trained on another task (e.g. spleen segmentation). I am also interested in multilabel segmentations, so I will certainly also use the tips about starting from scratch in the future. Thanks!