Dataset Summary
The dataset includes clinical data from 50 patients diagnosed with Lateral Lymph Node Metastasis (LLNM). It contains 263 ultrasound images, along with 50 radiology reports and patient profiles.
Each patient is associated with at least one image. The images have undergone preliminary screening: on one hand, the original images are retained; on the other hand, edge information (including hospital names, equipment information, etc.) has been removed. Since all the patients in the dataset have LLNM, if you intend to conduct classification tasks, it is recommended that you supplement non-LLNM data on your own, which is easier to collect compared to LLNM data. The thyroid gland usually has images from two perspectives, transverse and longitudinal. However, due to screening issues, not all patients in the provided dataset may have images from both perspectives.
This dataset is provided for non-commercial educational and testing purposes, specifically for research related to LLNM classification.
If you need to apply for access, please note that temporary or unreliable email addresses should not be used. We will check the security of the application accounts.
Citation
If you use this dataset in your research, please cite the following references: "Shen, P., Yang, Z., Sun, J. et al. Explainable multimodal deep learning for predicting thyroid cancer lateral lymph node metastasis using ultrasound imaging. Nat Commun 16, 7052 (2025). https://doi.org/10.1038/s41467-025-62042-z"
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