Image Classification
English
breast
cancer
odelia

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🛡️ Model Usage Agreement

By accessing or using this model (the “Model”), you acknowledge and agree to the following terms and conditions:

1. Research-Only Use

The Model is provided strictly for non-commercial, academic, and research purposes. It must not be used for clinical decision-making, diagnosis, treatment, or any other application involving real patients or clinical care.

2. No Clinical or Commercial Deployment

The Model is not approved for clinical use or any commercial application. Any deployment in healthcare settings or use for patient-related decision support is expressly prohibited.

3. Redistribution and Modification

You may not copy, distribute, sublicense, or otherwise share the Model or any derivative works without prior written permission from the model authors or the ODELIA consortium.

4. Privacy and Ethics Compliance

You must not attempt to identify, re-identify, or deanonymize any individual whose data may have contributed to the training or evaluation of the Model.

5. Attribution Requirement

Any publication, presentation, or derivative work that uses or references this Model must include clear attribution to the ODELIA consortium, along with any citations specified in the accompanying documentation.

6. Responsibility and Verification

You are solely responsible for verifying and validating the Model’s outputs and ensuring they are appropriate for your research context. The Model and its outputs are provided “as is,” without warranties of any kind.

7. Inclusion of Third-Party Components

This Model incorporates or is derived from DINOv3, developed by Meta Platforms. Use of the Model is therefore also subject to the DINOv3 License Agreement. By using this Model, you agree to comply with both:

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ODELIA Classification Baseline Model

For a comprehensive description of the model and its intended use, please refer to our paper: Read the paper

Get Probabilities and Attention

To use this model, first download the required files from this repository:

from huggingface_hub import hf_hub_download

# Download model files to local directory
hf_hub_download(repo_id="ODELIA-AI/MST", filename="models.py", local_dir="./")
hf_hub_download(repo_id="ODELIA-AI/MST", filename="predict_attention.py", local_dir="./")

Then execute predict_attention.py --path_img path/to/Sub_1.nii.gz to get probabilities and attention maps.

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Dataset used to train ODELIA-AI/MST