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unet2d-tiny-med
Kalray/unet2d-tiny-med
unet2d-tiny-med is a image segmentation model from Kalray. Use it for the image segmentation task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
This repository stores the model for Unet-tiny-medical, compatible with Kalray's neural network API. </br Please see www.github.com/kalray/kann-models-zoo for details and proper usage. </br
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Updated Oct 28, 2024
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31.1 MB
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.onnx31.1 MB · 100%
At a glance
- Task
- Image Segmentation
- License
- mit
- Access
- Public
- Created
- Jul 9, 2024
- Updated
- Oct 28, 2024
- SHA
- 246ca5c4
Model card
From the Hugging Face model README
Introduction
This repository stores the model for Unet-tiny-medical, compatible with Kalray's neural network API. </br> Please see www.github.com/kalray/kann-models-zoo for details and proper usage. </br>
Contents
- ONNX: unet2d_mri_brain.onnx
Lecture note reference
- arxiv paper: https://arxiv.org/abs/1505.04597
Repository or links references
- github repository : https://github.com/mateuszbuda/brain-segmentation-pytorch
- dataset : https://www.kaggle.com/datasets/mateuszbuda/lgg-mri-segmentation
Citations:
@article{buda2019association,
title={Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm},
author={Buda, Mateusz and Saha, Ashirbani and Mazurowski, Maciej A},
journal={Computers in Biology and Medicine},
volume={109},
year={2019},
publisher={Elsevier},
doi={10.1016/j.compbiomed.2019.05.002}
}
Author: nbouberbachene@kalrayinc.com
- Task
- Image Segmentation
- License
- mit
- Created
- Jul 9, 2024
- Updated
- Oct 28, 2024