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Citation
If you use this dataset in your research, please cite:
@inproceedings{10.1007/978-3-032-05182-0_60,
author = {Duong, Viet Hung and Vu, Huan and Phan, Huong Duong and Nguyen, Duc Quyen and Pham, Duc Hao and Le, Quang Toan and Nguyen, Ba Sy and Do, Tien Dung and Dinh, Viet Sang and Nguyen, Tien Cuong and Pham, Huy Hoang and Ngo, Dien Hy},
title = {ThyroidXL: Advancing Thyroid Nodule Diagnosis with an Expert-Labeled, Pathology-Validated Dataset},
year = {2025},
isbn = {978-3-032-05181-3},
publisher = {Springer-Verlag},
address = {Berlin, Heidelberg},
url = {https://doi.org/10.1007/978-3-032-05182-0_60},
doi = {10.1007/978-3-032-05182-0_60}
}
ThyroidXL Dataset
The ThyroidXL dataset. The annotations are provided for classification, detection and segmentation tasks.
Dataset stats
- Total number of patients: 4093 (patients)
- Total number of images: 11545 (images)
Train set:
- Number of patients: 3275 (2477 benigns, 877 malignants)
- Number of images: 9541
- Benign-Malignant Ratio: 64.6% - 35.4%
Test set:
- Number of patients: 739 (386 benigns, 453 malignants)
- Number of images: 2094
- Benign-Malignant Ratio: 52.2% - 47.8%
Category mapping
Gender:
- Male: 1
- Female: 2
Thyroid diagnostic results:
- Benign: 0
- Malignant: 1
Male-Female ratios in the trainset and testset:
Age distributions:
TIRADS distributions by Patients
TIRADS distributions by Images
Samples
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