Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Intraoperative label-free tissue diagnostics using a stimulated Raman histology imaging system with artificial intelligence: An initial experience
7
Zitationen
8
Autoren
2024
Jahr
Abstract
Our initial experience with SRH shows that this novel imaging technique is a promising approach to obtain rapid intraoperative tissue diagnosis to guide surgical decision making based on histology and cell-density. With further refinement of AI-based automated image classification and a better integration into the surgical workflow, prediction accuracy and reliability could be improved.
Ähnliche Arbeiten
<i>ATHENA</i>,<i>ARTEMIS</i>,<i>HEPHAESTUS</i>: data analysis for X-ray absorption spectroscopy using<i>IFEFFIT</i>
2005 · 16.088 Zit.
Computed Tomography — An Increasing Source of Radiation Exposure
2007 · 8.611 Zit.
Quantification of coronary artery calcium using ultrafast computed tomography
1990 · 7.637 Zit.
Standardized Myocardial Segmentation and Nomenclature for Tomographic Imaging of the Heart
2002 · 6.911 Zit.
Computational Radiomics System to Decode the Radiographic Phenotype
2017 · 6.268 Zit.