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  ---
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  license: cc-by-nc-nd-4.0
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  license: cc-by-nc-nd-4.0
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+ pipeline_tag: tabular-classification
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  ---
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+ # Flowformer
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+
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+ Automatic detection of blast cells in ALL data using transformers.
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+
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+ Official implementation of our work: *"Automated Identification of Cell Populations in Flow Cytometry Data with Transformers"*
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+ by Matthias Wödlinger, Michael Reiter, Lisa Weijler, Margarita Maurer-Granofszky, Angela Schumich, Elisa O Sajaroff, Stefanie Groeneveld-Krentz, Jorge G Rossi, Leonid Karawajew, Richard Ratei and Michael Dworzak
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+
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+ ## Usage
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+
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+ Load the pretrained model from huggingface
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+
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+ ```
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+ from transformers import AutoModel
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+ flowformer = AutoModel.from_pretrained("matth/flowformer", trust_remote_code=True)
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+ ```
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+
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+ `trust_remote_code=True` is necessary because the model code uses a custom architecture.
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+
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+ ## Citation
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+
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+ If you use this project please consider citing our work
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+
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+ ```
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+ @article{wodlinger2022automated,
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+ title={Automated identification of cell populations in flow cytometry data with transformers},
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+ author={Wödlinger, Matthias and Reiter, Michael and Weijler, Lisa and Maurer-Granofszky, Margarita and Schumich, Angela and Sajaroff, Elisa O and Groeneveld-Krentz, Stefanie and Rossi, Jorge G and Karawajew, Leonid and Ratei, Richard and others},
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+ journal={Computers in Biology and Medicine},
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+ volume={144},
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+ pages={105314},
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+ year={2022},
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+ publisher={Elsevier}
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+ }
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+ ```
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+
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+
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+ ---
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+ license: cc-by-nc-nd-4.0
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+ ---