Developing Generalist Foundation Models from a Multimodal Dataset for 3D Computed Tomography

Ibrahim Ethem Hamamci, Sezgin Er, Furkan Almas, Ayse Gulnihan Simsek, Sevval Nil Esirgun, Irem Dogan, Muhammed Furkan Dasdelen, Omer Faruk Durugol, Bastian Wittmann, Tamaz Amiranashvili, Enis Simsar, Mehmet Simsar, Emine Bensu Erdemir, Abdullah Alanbay, Anjany Sekuboyina, Berkan Lafci, Christian Bluethgen, Mehmet Kemal Ozdemir, Bjoern Menze

Abstract: While computer vision has achieved tremendous success with multimodal encoding and direct textual interaction with images via chat-based large language models, similar advancements in medical imaging AI—particularly in 3D imaging—have been limited due to the scarcity of comprehensive datasets. To...

External IDs:doi:10.21203/rs.3.rs-5271327/v1