TN5000: An Ultrasound Image Dataset for Thyroid Nodule Detection and Classification

An open-access ultrasound image dataset for thyroid nodule detection and classification, i.e. the TN5000, is proposed, which contains 5,000 B-mode ultrasound images of thyroid nodule, as well as complete annotations and biopsy confirmations of the thyroid nodules from expert radiologists. More detailed, the dataset has been randomly split at the image level with a ratio of 7:1:2 into a training-validation-test set. And all the images are pre-processed into a VOC-compatible schema. The benchmark methods for thyroid nodules detection and classification have also been provided here.