Unfortunately not. They can be thought of as weird, big photographs of , say, dog breeds that cannot be squared simply due to memory and CPU constraints and that do no make much sense if sliced.
Perhaps I could slice them anyway and input 100 channels as the input tensor? Might work but the transfer learning might be challenging as it generally requires three channel input.