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A Comparative Study of Explainability Methods for Whole Slide Classification of Lymph Node Metastases using Vision Transformers

2024-05-07

Abstract excerpt

<h4>ABSTRACT</h4> Recent advancements in deep learning (DL), such as transformer networks, have shown promise in enhancing the performance of medical image analysis. In pathology, automated whole slide imaging (WSI) has transformed clinical workflows by streamlining routine tasks and diagnostic and prognostic support. However, the lack of transparency of DL models, often described as “black boxes”, poses a signifi...

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Literature Corpus work
d9b81ad2-2bf0-50d3-acb4-d743987407b5
DOI
10.1101/2024.05.07.24306815
Open publication

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A Comparative Study of Explainability Methods for Whole Slide Classification of Lymph Node Metastases using Vision TransformersDOI 10.1101/2024.05.07.24306815
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