Spectral organ fingerprints for machine learning-based intraoperative tissue classification with hyperspectral imaging in a porcine model

Spectral organ fingerprints for machine learning-based intraoperative tissue classification with hyperspectral imaging in a porcine model

Abstract Visual discrimination of tissue during surgery can be challenging since different tissues appear similar to the human eye. Hyperspectral imaging (HSI) removes this limitation by associating each pixel with high-dimensional spectral information. While previous work has shown its general pote...

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Bibliographic Details
Main Authors: Alexander Studier-Fischer, Silvia Seidlitz, Jan Sellner, Berkin Özdemir, Manuel Wiesenfarth, Leonardo Ayala, Jan Odenthal, Samuel Knödler, Karl Friedrich Kowalewski, Caelan Max Haney, Isabella Camplisson, Maximilian Dietrich, Karsten Schmidt, Gabriel Alexander Salg, Hannes Götz Kenngott, Tim Julian Adler, Nicholas Schreck, Annette Kopp-Schneider, Klaus Maier-Hein, Lena Maier-Hein, Beat Peter Müller-Stich, Felix Nickel
Format: Article
Language:English
Published: Nature Portfolio 2022-06-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-15040-w

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https://doi.org/10.1038/s41598-022-15040-w

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