Dataset No. 24

Notes

【Add this free dataset to the “Inquiry Cart” and submit to download it】 To celebrate the launch of DataHub, we are offering an annotated suspected lung cancer CT dataset free of charge. This dataset enhances the publicly-available "Lung-PET-CT-Dx" dataset from The Cancer Imaging Archive with our expert radiologists' double-checked annotations, including detailed segmentations of lung cancer and lung fields. Our goal is to accelerate R&D in medical AI, drug discovery AI, and oncology by providing high-quality, annotated data covering various lung cancer types, such as adenocarcinoma, small cell carcinoma, and squamous cell carcinoma. Each case is enriched with clinical information sourced from the original dataset, offering comprehensive context for developers and researchers. If you find this dataset valuable, we encourage you to explore our private medical image datasets available on DataHub to further support your R&D efforts. If the dataset you need is not listed on DataHub, please feel free to reach out to us――We can share samples upon request and offer dataset customization and data-related consulting, including medical feedback, customized AI development, and regulatory support for entering the Japanese medical device market. 【Original dataset】 Li, P., Wang, S., Li, T., Lu, J., HuangFu, Y., & Wang, D. (2020). A Large-Scale CT and PET/CT Dataset for Lung Cancer Diagnosis (Lung-PET-CT-Dx) [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/TCIA.2020.NNC2-0461 【TCIA】 Clark K, Vendt B, Smith K, Freymann J, Kirby J, Koppel P, Moore S, Phillips S, Maffitt D, Pringle M, Tarbox L, Prior F. (2013) The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, 26(6):1045-1057. DOI: 10.1007/s10278-013-9622-7