ThyroidAgent
ThyroidAgent is a PyTorch-based library that provides DINOv3 + UNet models for thyroid ultrasound image analysis, including both single-task segmentation and multi-task learning (segmentation + malignancy classification + TIRADS).
Features
- DINOv3_S_UNet: single-task tumor segmentation.
- DINOv3_S_UNet_MULTITASK: joint segmentation, malignancy classification, and TIRADS prediction.
- Dataset utilities:
FullDatasetandMultiTaskDatasetfor training/validation pipelines. - Metrics and loss: ready-to-use evaluation metrics and loss functions for medical image segmentation and multi-task learning.
Installation
From PyPI (after you publish):
pip install ThyroidAgent
1 maintainer
Release files for ThyroidAgent 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| thyroidagent-0.1.1.tar.gz | 22.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| thyroidagent-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 53.0 kB
Release files / thyroidagent-0.1.1.tar.gz
| Download URL | thyroidagent-0.1.1.tar.gz |
|---|---|
| Size | 22.7 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
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twine/6.2.0 CPython/3.11.14
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Release files / thyroidagent-0.1.1-py3-none-any.whl
| Download URL | thyroidagent-0.1.1-py3-none-any.whl |
|---|---|
| Size | 30.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.11.14
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