GenerateCT: Text-Conditional Generation of 3D Chest CT Volumes

The dataset comprises 25,701 non-contrast 3D chest CT volumes with a 512×512 resolution and varying axial slice counts ranging from 100 to 600. These volumes originate from 21,314 unique patients and have been reconstructed using multiple methods appropriate for different window settings.

Data and Resources

Cite this as

Ibrahim Ethem Hamamci, Sezgin Er, Anjany Sekuboyina, Enis Simsar, Alperen Tezcan, Ayse Gulnihan Simsek, Sevval Nil Esirgun, Furkan Almas, Muhammed Furkan Dasdelen, Chinmay Prabhakar, Hadrien Reynaud, Sarthak Pati, Christian Bluethgen, Mehmet Kemal Ozdemir, Bjoern Menze (2024). Dataset: GenerateCT: Text-Conditional Generation of 3D Chest CT Volumes. https://doi.org/10.57702/enlkmheu

DOI retrieved: December 16, 2024

Additional Info

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Created December 16, 2024
Last update December 16, 2024
Author Ibrahim Ethem Hamamci
More Authors
Sezgin Er
Anjany Sekuboyina
Enis Simsar
Alperen Tezcan
Ayse Gulnihan Simsek
Sevval Nil Esirgun
Furkan Almas
Muhammed Furkan Dasdelen
Chinmay Prabhakar
Hadrien Reynaud
Sarthak Pati
Christian Bluethgen
Mehmet Kemal Ozdemir
Bjoern Menze
Homepage https://github.com/ibrahimethemhamamci/GenerateCT