The LUNOVO26 Challenge: Debug Phase Dataset
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The LUNOVO26 (Lung Nodule Volumetry 2026) challenge is a public benchmarking challenge organized by EIBALL (European Imaging Biomarkers Alliance), QMIC (Quantitative Medical Imaging Coalition) and Radboud University Medical Center. LUNOVO26 is supported and co-funded by the SOLACE project. LUNOVO26 aims to provide an objective framework for the evaluation of AI algorithms for volumetric measurement of pulmonary nodules in lung cancer screening. LUNOVO26 has the following objectives: Provide an objective framework for transparent validation and comparison of the accuracy, variability and reproducibility of both academic and commercial AI algorithms for volumetric measurement of pulmonary nodules. Attract attention of the community to the task of volumetric measurement of pulmonary nodules, a crucial component for running an effective lung cancer screening program. Provide a good basis for reliable quality assurance and quality control of AI algorithms for volumetric measurement of pulmonary nodules. This dataset includes the data used for the Debug Phase of the LUNOVO26 challenge and is a derivative of the original LIDC-IDRI dataset which is publicly available and can be downloaded from the TCIA website. In this phase, the AI algorithms will be executed on 5 LIDC-IDRI cases to debug and test the implementation of their algorithms, and can be used for debugging the algorithm inference Dockers that are submitted to the GrandChallenge platform.. The original LIDC-IDRI dataset is provided under a CC-BY 3.0 license: Armato III, S. G., McLennan, G., Bidaut, L., McNitt-Gray, M. F., Meyer, C. R., Reeves, A. P., Zhao, B., Aberle, D. R., Henschke, C. I., Hoffman, E. A., Kazerooni, E. A., MacMahon, H., Van Beek, E. J. R., Yankelevitz, D., Biancardi, A. M., Bland, P. H., Brown, M. S., Engelmann, R. M., Laderach, G. E., Max, D., Pais, R. C. , Qing, D. P. Y. , Roberts, R. Y., Smith, A. R., Starkey, A., Batra, P., Caligiuri, P., Farooqi, A., Gladish, G. W., Jude, C. M., Munden, R. F., Petkovska, I., Quint, L. E., Schwartz, L. H., Sundaram, B., Dodd, L. E., Fenimore, C., Gur, D., Petrick, N., Freymann, J., Kirby, J., Hughes, B., Casteele, A. V., Gupte, S., Sallam, M., Heath, M. D., Kuhn, M. H., Dharaiya, E., Burns, R., Fryd, D. S., Salganicoff, M., Anand, V., Shreter, U., Vastagh, S., Croft, B. Y., Clarke, L. P. (2015). Data From LIDC-IDRI [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/K9/TCIA.2015.LO9QL9SX



