thyroid
Datasets
All datasets matching “thyroid”ThyroidXL
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}… See the full description on the dataset page: https://huggingface.co/datasets/hunglc007/ThyroidXL.TN5000-thyroid-nodule-classification
TN5000 Thyroid Nodule Classification Dataset
A preprocessed, CNN-ready version of the TN5000 thyroid ultrasound dataset, cropped to individual nodule regions of interest and standardized to 224×224 PNG images for binary classification (Benign vs. Malignant).
Source Dataset
This dataset is derived from:
TN5000: An Ultrasound Image Dataset for Thyroid Nodule Detection and ClassificationXiaoxian Yu et al., Scientific Data (Nature Publishing Group), 2025DOI:… See the full description on the dataset page: https://huggingface.co/datasets/Johnyquest7/TN5000-thyroid-nodule-classification.thyroid_datacytoal-thyroid-cytology-labeledThyroid_Ultrasound_Images
Dataset Summary
This dataset contains 900 thyroid ultrasound images, categorized into three subtypes of thyroid carcinoma:
PTC (Papillary Thyroid Carcinoma) – 300 images
FTC (Follicular Thyroid Carcinoma) – 300 images
MTC (Medullary Thyroid Carcinoma) – 300 images
It is curated to support **medical image classification **, particularly for AI applications in thyroid cancer diagnosis.
The model predictions and performance metrics related to “Improving AI Models for Rare Thyroid… See the full description on the dataset page: https://huggingface.co/datasets/FangDai/Thyroid_Ultrasound_Images.dinov3-large-thyroid-nodule
DINOv3 Large – Thyroid Nodule Classification
This repository provides fine-tuned weights of a DINOv3-Large Vision Transformer
for thyroid nodule classification from ultrasound images.
⚠️ Research and educational use only. Not for clinical use.
Model description
Backbone: DINOv3-Large (Vision Transformer)
Task: Binary classification (benign vs malignant)
Modality: Thyroid ultrasound
Training: Fine-tuned from Meta AI DINOv3 pretrained weights
This model is a derivative… See the full description on the dataset page: https://huggingface.co/datasets/alexThunder01/dinov3-large-thyroid-nodule.