Extracting structured information from unstructured histopathology reports using generative pre‐trained transformer 4 (
                    <scp>GPT</scp>
                    ‐4)

Truhn, Daniel; ML Loeffler, Chiara; Müller‐Franzes, Gustav; Nebelung, Sven; J Hewitt, Katherine; Brandner, Sebastian; K Bressem, Keno; Foersch, Sebastian; Nikolas Kather, Jakob

doi:10.1002/path.6232

Public

Extracting structured information from unstructured histopathology reports using generative pre‐trained transformer 4 ( GPT ‐4)

Shared by NobleBlocks on Dec 14, 2023 • 12:00 AM UTC

Authors:

Daniel Truhn

Chiara ML Loeffler

Gustav Müller‐Franzes

Abstract

Abstract Deep learning applied to whole‐slide histopathology images (WSIs) has the potential to enhance precision oncology and alleviate the workload of experts. However, developing these models necessitates large amounts of data with ground truth labels, which can be both time‐consuming and expensi...

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