Project Details
Description
Software to automatically analyse and quantify digital histopathology tissue sections. In-kind award £88,400
| Status | Finished |
|---|---|
| Effective start/end date | 1/09/16 → 31/08/20 |
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):
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SDG 3 Good Health and Well-being
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Research output
- 1 Article
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Automated analysis of lymphocytic infiltration, tumor budding, and their spatial relationship improves prognostic accuracy in colorectal cancer
Nearchou, I. P., Lillard, K., Gavriel, C., Ueno, H., Harrison, D. J. & Caie, P. D., Apr 2019, In: Cancer Immunology Research. 7, 4, p. 609-620Research output: Contribution to journal › Article › peer-review
Open AccessFile
Datasets
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Immune profiling of the colorectal cancer microenvironment for precision prognostics (thesis data)
Nearchou, I. (Creator) & Caie, P. D. (Supervisor), University of St Andrews, 14 Sept 2024
DOI: 10.17630/ebb18d2b-b2ec-4b57-8c58-c0579d47f657, http://hdl.handle.net/10023/21614
Dataset: Thesis dataset
File