Well, if you are concerned about the range, you should be more worried that the pretrained network is trained on a completely different domain, and the difference includes range of course. That said, you can definitely try it if your data has some structures of natural image (spatial invariance etc.).
I’m not familiar if transfer learning reduces overfitting though… But if your dataset is small, I’d say just try running it!  GL