Spectral organ fingerprints for machine learning-based intraoperative tissue classification with hyp...
Spectral organ fingerprints for machine learning-based intraoperative tissue classification with hyperspectral imaging in a porcine model
About this item
Full title
Author / Creator
Studier-Fischer, Alexander , Seidlitz, Silvia , Sellner, Jan , Özdemir, Berkin , Wiesenfarth, Manuel , Ayala, Leonardo , Odenthal, Jan , Knödler, Samuel , Kowalewski, Karl Friedrich , Haney, Caelan Max , Camplisson, Isabella , Dietrich, Maximilian , Schmidt, Karsten , Salg, Gabriel Alexander , Kenngott, Hannes Götz , Adler, Tim Julian , Schreck, Nicholas , Kopp-Schneider, Annette , Maier-Hein, Klaus , Maier-Hein, Lena , Müller-Stich, Beat Peter and Nickel, Felix
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
Formats
Publication information
Publisher
London: Nature Publishing Group UK
Subjects
More information
Scope and Contents
Contents
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 potential to discriminate tissue, clinical translation has been...
Alternative Titles
Full title
Spectral organ fingerprints for machine learning-based intraoperative tissue classification with hyperspectral imaging in a porcine model
Authors, Artists and Contributors
Author / Creator
Seidlitz, Silvia
Sellner, Jan
Özdemir, Berkin
Wiesenfarth, Manuel
Ayala, Leonardo
Odenthal, Jan
Knödler, Samuel
Kowalewski, Karl Friedrich
Haney, Caelan Max
Camplisson, Isabella
Dietrich, Maximilian
Schmidt, Karsten
Salg, Gabriel Alexander
Kenngott, Hannes Götz
Adler, Tim Julian
Schreck, Nicholas
Kopp-Schneider, Annette
Maier-Hein, Klaus
Maier-Hein, Lena
Müller-Stich, Beat Peter
Nickel, Felix
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_ebb9fc0545f64ebba5e2b0ae635ad0f5
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ebb9fc0545f64ebba5e2b0ae635ad0f5
Other Identifiers
ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-022-15040-w
