xai4mri
Explainable A.I. for MRI research using deep learning.
What is xai4mri
xai4mri is designed for advanced MRI analysis combining deep learning with explainable A.I. (XAI).
It offers the following key functionalities:
- Data Integration: Effortlessly import new MRI datasets and apply the models to generate accurate predictions.
- Model Loading: load (pretrained) 3D-convolutional neural network models tailored for MRI predictions.
- Interpretation Tools: Utilize analyzer tools, such as Layer-wise Relevance Propagation (LRP), to interpret model predictions through intuitive heatmaps.
With xai4mri, you can complement your MRI analysis pipeline, ensuring precise predictions and insightful interpretations.
Quick-start
pip install -U xai4mri
Get started with xai4mri in Python:
import xai4mri as xai
Visit the documentation, for detailed information.
Citation
When using xai4mri, please cite the following papers:
[toolbox paper in prep] and Hofmann et al. (2022, NeuroImage).
1 maintainer
Release files for xai4mri 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| xai4mri-0.0.1.tar.gz | 73.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| xai4mri-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 141.2 kB
Release files / xai4mri-0.0.1.tar.gz
| Download URL | xai4mri-0.0.1.tar.gz |
|---|---|
| Size | 73.5 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.11.10
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Release files / xai4mri-0.0.1-py3-none-any.whl
| Download URL | xai4mri-0.0.1-py3-none-any.whl |
|---|---|
| Size | 67.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.11.10
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