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Dataset No. 24

[Free Distribution] Lung Cancer CT with Segmentation and Classification

Body Part

Chest/Lung

Modality

CT

Diagnosis

  • Lung Cancer

Contrast/Non-Contrast

  • Non-Contrast

Slice Thickness

0.6mm - 3mm

Manufacturer

Siemens (Biograph 64), GE (Sensation 10, LightSpeed VCT, LightSpeed Pro 16, Discovery CT750 HD, Optima CT660, Revolution CT), Philips (Brilliance 16, iCT 256)

Number of Cases

152

Number of Series

Min: 1, Max: 1, Avg: 1

Annotation

Segmentation (lung cancers and lung fields), Classification (lung cancer type)

Clinical Information

Sex, Age, Weight, Smoking status, Histological subtype, Histopathological grading, TNM stage

Location

Harbin in China

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

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