Cancer diagnostics projects - Helse Bergen HF

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We want to use computational pathology to realize two aims related to cancer diagnostics:

To train, test, validate and implement computer-aided analyses of important biomarkers
To automatically classify pathological lesions

Work package 1: Ki-67 in neuroendocrine tumours of the gastrointestinal tract

The number of Ki-67 positive tumour cells is a measure for how fast a tumour is growing. We use artificial intelligence to precisely count positive tumour cells.

Image analysis Ki-67

Work package 3: Proliferation in breast cancer measured by mitosis counting, Ki67 and PHH3

Proliferation in breast cancer

Work package 4: Quantitative analysis of Endometrial Intraepithelial Hyperplasia/Neoplasia

Quantitative analysis of EIN

Work package 5: Automatic classification of skin lesions

Work package 5: Automatic classification of skin lesions

Sist oppdatert 20.05.2022