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Fixing missing reference in TransformerABMIL
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torchmil/models/transformer_abmil.py

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class TransformerABMIL(MILModel):
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r"""
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Transformer Attention-based Multiple Instance Learning model.
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Proposed in [Sm: enhanced localization in Multiple Instance Learning for medical imaging classification](https://arxiv.org/abs/2410.03276).
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Given an input bag $\mathbf{X} = \left[ \mathbf{x}_1, \ldots, \mathbf{x}_N \right]^\top \in \mathbb{R}^{N \times P}$, the model optionally applies a feature extractor, $\text{FeatExt}(\cdot)$, to transform the instance features: $\mathbf{X} = \text{FeatExt}(\mathbf{X}) \in \mathbb{R}^{N \times D}$.
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Then, it transforms the instance features using a transformer encoder,

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