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README.md
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### Model Description
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This model is
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This model was trained on the entire CHAMMI-75 dataset using the bag of channels method. It has acheived state of the art in 7/8 self-supervised learning benchmarks.
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- **Developed by:** Vidit Agrawal, Juan Caicedo
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### Model Description
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This model is the best model released from the CHAMMI-75:pre-training multi-channel models with heterogeneous microscopy images paper currently under review at a conference.
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This model was pre-trained on the entire CHAMMI-75 dataset using the bag of channels method. It has acheived state of the art in 7/8 self-supervised learning benchmarks.
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The utility of this model is to be used in single-cell analysis of microscopic imaging.
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- **Developed by:** Vidit Agrawal, Juan Caicedo
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