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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 work of DINOv3 released by Meta AI.
Intended use
This model is intended for:
- Academic research
- Benchmarking
- Educational purposes
Not intended for:
- Clinical diagnosis
- Medical decision-making
- Commercial deployment
License and attribution
The original DINOv3 model is released by Meta AI under the DINOv3 License.
Use of these weights must comply with Meta AI’s licensing terms: https://ai.meta.com/resources/models-and-libraries/dinov3-downloads/
By using this model, you agree to respect the original license conditions.
Training details
- Dataset: TN5000 (thyroid ultrasound dataset)
- Preprocessing: CLAHE, unsharp masking, adaptive cropping
- Loss: Cross-entropy
- Optimizer: AdamW
- Seed: 42
See the accompanying code repository for full details: https://github.com/AlexThunder01/Thyroid-Nodule-AI
Citation
@misc{thyroid-nodule-ai-2025,
author = {AlexThunder01},
title = {Thyroid Nodule AI: DINOv3 Fine-Tuned Weights},
year = {2025},
howpublished = {Hugging Face model repository},
}
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