Our paper OADAT: Experimental and Synthetic Clinical Optoacoustic Data for Standardized Image Processing is accepted at Transactions on Machine Learning Research (TMLR) 🎉!
Have a look at its documentation and download it already.
We also release oadat-evaluate repository which can be used to access pretrained models from our work as well as train them from scratch and try them out.
If you want to have a sneak peek at OADAT, go to oadat-explore and checkout OADAT-mini, which contains a subset of 100 instances of each category existing from OADAT, plus manual annotations.