Dataset Summary One of the largest, fully annotated CT dataset to date, including 5,195 annotated CT volumes (with spleen, liver, kidneys, stomach, gallbladder, pancreas, aorta, and IVC annotations). A version with improved annotation quality for the aorta and kidney classes is available at AbdomenAtlas1.0Mini. Join the AbdomenAtlas Benchmarking Project (Touchstone) The Benchmarking 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 Touc…
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy