Lars Hilgers, Narmin Ghaffari Laleh, Nicholas P West, Alice Westwood, Katherine J Hewitt, Philip Quirke, Heike I Grabsch, Zunamys I Carrero, Emylou Matthaei, Chiara M L Loeffler, Titus J Brinker, Tanwei Yuan, Hermann Brenner, Alexander Brobeil, Michael Hoffmeister, Jakob Nikolas Kather
BACKGROUND: Artificial intelligence (AI) has numerous applications in pathology, supporting diagnosis and prognostication in cancer. However, most AI models are trained on highly selected data, typically one tissue slide per patient. In reality, especially for large surgical resection specimens, dozens of slides can be available for each patient. Manually sorting and labelling whole-slide images (WSIs) is a very time-consuming process, hindering the direct application of AI on the collected tissue samples from large cohorts...
February 26, 2024: Histopathology