Mathematical modelling and deep learning algorithms to automate assessment of single and digitally multiplexed immunohistochemical stains in tumoural stroma.
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| Title: | Mathematical modelling and deep learning algorithms to automate assessment of single and digitally multiplexed immunohistochemical stains in tumoural stroma. |
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| Authors: | Burrows L; Department of Mathematical Sciences and Centre for Mathematical Imaging Techniques, University of Liverpool, Liverpool, United Kingdom., Sculthorpe D; Biodiscovery Institute, Translational Medical Sciences, School of Medicine, University of Nottingham, Nottingham, United Kingdom., Zhang H; Department of Eye and Vision Science, University of Liverpool, Liverpool, United Kingdom., Rehman O; Department of Histopathology, Nottingham University Hospitals NHS, Nottingham, United Kingdom., Mukherjee A; Biodiscovery Institute, Translational Medical Sciences, School of Medicine, University of Nottingham, Nottingham, United Kingdom.; Department of Histopathology, Nottingham University Hospitals NHS, Nottingham, United Kingdom., Chen K; Department of Mathematical Sciences and Centre for Mathematical Imaging Techniques, University of Liverpool, Liverpool, United Kingdom.; Department of Mathematics and Statistics, University of Strathclyde, Glasgow, United Kingdom. |
| Source: | Journal of pathology informatics [J Pathol Inform] 2023 Nov 19; Vol. 15, pp. 100351. Date of Electronic Publication: 2023 Nov 19 (Print Publication: 2024). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier Inc Country of Publication: United States NLM ID: 101528849 Publication Model: eCollection Cited Medium: Print ISSN: 2229-5089 (Print) NLM ISO Abbreviation: J Pathol Inform Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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