at Google ScholarTitle data
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 in another language
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.
Further data
| Item Type: | Article in a book |
|---|---|
| Refereed: | Yes |
| Institutions of the University: | Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Lehrstuhl Künstliche Intelligenz in der Mikroskopie und Spektroskopie > Lehrstuhl Künstliche Intelligenz in der Mikroskopie und Spektroskopie - Univ.-Prof. Dr. Thomas Wilhelm Bocklitz |
| Result of work at the UBT: | No |
| DDC Subjects: | 500 Science > 530 Physics |
| Date Deposited: | 19 May 2023 10:48 |
| Last Modified: | 19 May 2023 10:48 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/76287 |