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Upload MALUNet CVC-ClinicDB weights

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@@ -58,14 +58,3 @@ also clone it and run inference without the original training code.
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  - Trained on CVC-ClinicDB only (612 frames, single source). Generalization
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  to other colonoscopy systems / patient populations is unverified.
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  - Not a medical device. Research / demo use only.
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-
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- ## Citation
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-
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- ```bibtex
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- @inproceedings{ruan2023malunet,
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- title={MALUNet: A multi-attention and light-weight UNet for skin lesion segmentation},
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- author={Ruan, Jiacheng and Xie, Mingye and Xiang, Suncheng and Liu, Ting and Fu, Yongtao},
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- booktitle={2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)},
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- year={2022}
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- }
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- ```
 
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  - Trained on CVC-ClinicDB only (612 frames, single source). Generalization
59
  to other colonoscopy systems / patient populations is unverified.
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  - Not a medical device. Research / demo use only.