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University of Zagreb
Faculty of Electrical Engineering and Computing
10000 Zagreb
Croatia
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The ALCTID (Annotated Lung CT Image Database) database contains 2D lung CT images: 170 images annotated by an experienced thoracic radiologist and 170 images of healthy lungs.

Annotated abnormalities include cancerous tissue, enlarged lymph nodes, enlarged heart etc. 

Annotations are presented as a rectangle over a ROI containing lesions.
They are created and stored in the formats compatible with YOLO (Redmon et al., 2015} and Pascal VOC (http://host.robots.ox.ac.uk/pascal/VOC/).


Annotations on 170 images have a total of 307 annotated ROIs.


If you use the database in your research please cite the following publication:
David Ivusic, Antun Petrak, Jelena Bozek, Sonja Grgic, "Annotated lung CT image database", 2022 International Symposium ELMAR, 2022, pp. 165-168, doi: 10.1109/ELMAR55880.2022.9899805