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Now showing items 11-15 of 15
Exploring the immune microenvironment in small bowel adenocarcinoma using digital image analysis.
(PUBLIC LIBRARY SCIENCE, 2023-08-01)
BACKGROUND: Small bowel adenocarcinoma (SBA) is a rare malignancy of the small intestine associated with late stage diagnosis and poor survival outcome. High expression of immune cells and immune checkpoint biomarkers ...
Translation of tissue-based artificial intelligence into clinical practice: from discovery to adoption.
(SPRINGERNATURE, 2023-11-24)
Digital pathology (DP), or the digitization of pathology images, has transformed oncology research and cancer diagnostics. The application of artificial intelligence (AI) and other forms of machine learning (ML) to these ...
Spatial analyses of immune cell infiltration in cancer: current methods and future directions: A report of the International Immuno-Oncology Biomarker Working Group on Breast Cancer.
(WILEY, 2023-08-01)
Modern histologic imaging platforms coupled with machine learning methods have provided new opportunities to map the spatial distribution of immune cells in the tumor microenvironment. However, there exists no standardized ...
The use of digital pathology and image analysis in clinical trials.
(WILEY, 2019-04-01)
Digital pathology and image analysis potentially provide greater accuracy, reproducibility and standardisation of pathology-based trial entry criteria and endpoints, alongside extracting new insights from both existing and ...
Encrypted federated learning for secure decentralized collaboration in cancer image analysis.
(ELSEVIER, 2024-02-01)
Artificial intelligence (AI) has a multitude of applications in cancer research and oncology. However, the training of AI systems is impeded by the limited availability of large datasets due to data protection requirements ...