Dataset Summary The largest , fully annotated abdominal CT dataset to date, including 9,262 CT volumes with annotations for 25 different anatomical structures . Join the Touchstone Benchmarking Project The Touchstone Project aims to compare diverse semantic segmentation and pre training algorithms. We, the CCVL research group at Johns Hopkins University, invite creators of these algorithms to contribute to the initiative. With our support, contributors will train their methodologies on the largest fully annotated abdominal CT datasets to date. Subsequently, we will evaluate the trained models using a large internal dataset at Johns Hopkins University. If you are the creator of a semantic segmentation or pre training algorithm and wish to advance medical AI by participating in the Benchmark Project, please reach out to pedro.salvadorbassi2@unibo.it. We will provide you further details on the project and explain your opportunities to collaborate in our future publications! Note for Touchstone Benchmarking Project This dataset should be only used for the second round of the Touchstone Project, and not to update first round checkpoints. The first round dataset (5,195 annotated CT volum…
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