bei Google ScholarTitelangaben
Bocklitz, Thomas ; Schmitt, Michael ; Lukić, Aleksandar ; Heuke, Sandro ; Chernavskaia, Olga ; Meyer, Tobias ; Popp, Jürgen:
Non-linear multimodal imaging for disease diagnostics and treatment monitoring.
In:
International Conference on Biophotonics V. -
Bellingham, Wash.
: SPIE
,
2017
. - 103400F
ISBN 9781510611269
DOI: https://doi.org/10.1117/12.2275361
Abstract
Molecular imaging modalities, like multimodal imaging, e.g. the combination of coherent-anti-Stokes Raman scattering (CARS), second-harmonic generation (SHG) and two-photon-excited fluorescence (TPEF), feature a unique potential for disease diagnostics and treatment monitoring. In order to use the full potential of multi-modal imaging for diagnostic tasks powerful image analysis methods are necessary, which translate the physical measurements into medical meaningful information. This translation process requires standardization, correction procedures and statistical models like regression or classification models. With the help of these techniques medical relevant information can be extracted and used for the diagnostics of cancer or inflammation related diseases.
Weitere Angaben
| Publikationsform: | Aufsatz in einem Buch |
|---|---|
| Begutachteter Beitrag: | Ja |
| Institutionen der Universität: | Fakultäten > Fakultät für Mathematik, Physik und Informatik > Institut für Informatik > Lehrstuhl Künstliche Intelligenz in der Mikroskopie und Spektroskopie > Lehrstuhl Künstliche Intelligenz in der Mikroskopie und Spektroskopie - Univ.-Prof. Dr. Thomas Wilhelm Bocklitz |
| Titel an der UBT entstanden: | Nein |
| Themengebiete aus DDC: | 500 Naturwissenschaften und Mathematik > 530 Physik |
| Eingestellt am: | 19 Mai 2023 10:48 |
| Letzte Änderung: | 19 Mai 2023 10:48 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/76287 |