Statistical analysis and modelling of bi-modal autofluorescence-Raman imaging for efficient diagnosis and treatment of biological tissues

Koloydenko, Alexey (PI)
Notingher, Ioan (CoI)

Department of Mathematics

Project: Research

Status	Finished
Effective start/end date	23/11/22 → 23/07/24

Funding

Eng & Phys Sci Res Council EPSRC: £71,150.00

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

SDG 3 Good Health and Well-being

Intraoperative spectroscopic evaluation of sentinel lymph nodes in breast cancer surgery
Barkur, S., Boitor, R. A., Mihai, R., Raja Gopal, N. S., Leeney, S., Koloydenko, A. A., Khout, H., Rakha, E. & Notingher, I., Aug 2024, In: Breast Cancer Research. 207, p. 223-232 10 p.
Research output: Contribution to journal › Article › peer-review

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Statistical analysis and modelling of bi-modal autofluorescence-Raman imaging for efficient diagnosis and treatment of biological tissues

Project Details

Funding

UN Sustainable Development Goals

Research output

Intraoperative spectroscopic evaluation of sentinel lymph nodes in breast cancer surgery