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--- |
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license: mit |
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pipeline_tag: image-segmentation |
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--- |
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# Introduction |
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This repository stores the model for Unet-tiny-medical, compatible with Kalray's neural network API. </br> |
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Please see www.github.com/kalray/kann-models-zoo for details and proper usage. </br> |
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# Contents |
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- ONNX: unet2d_mri_brain.onnx |
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# Lecture note reference |
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* arxiv paper: https://arxiv.org/abs/1505.04597 |
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# Repository or links references |
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* github repository : https://github.com/mateuszbuda/brain-segmentation-pytorch |
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* dataset : https://www.kaggle.com/datasets/mateuszbuda/lgg-mri-segmentation |
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Citations: |
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```bibtex |
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@article{buda2019association, |
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title={Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm}, |
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author={Buda, Mateusz and Saha, Ashirbani and Mazurowski, Maciej A}, |
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journal={Computers in Biology and Medicine}, |
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volume={109}, |
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year={2019}, |
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publisher={Elsevier}, |
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doi={10.1016/j.compbiomed.2019.05.002} |
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} |
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``` |
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Author: nbouberbachene@kalrayinc.com |
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