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SynthEnsemble: A Fusion of CNN, Vision Transformer, and Hybrid Models for Multi-Label Chest X-Ray Classification

PWC

Published in 2023 26th International Conference on Computer and Information Technology (ICCIT)

Publication Link

https://ieeexplore.ieee.org/abstract/document/10441433

Training

The training folder contains the notebook links for all 6 models: ConvNextV2, SwinV2, MaxVit, VOLO D2, CoAtNet, DenseNet121.

Testing

The testing folder contains the notebooks for :

  1. running trained models on test dataset with average weighted ensemble
  2. finding optimal set of weights for weighted ensembling using differential evolution

TODO:

  • Organize and upload notebooks used to train classical models as meta classifier

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Notebooks for the paper: SynthEnsemble: A Fusion of CNN, Vision Transformer, and Hybrid Models for Multi-Label Chest X-Ray Classification

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