Outputs (2)

Luminance adaptive biomarker detection in digital pathology images (2016)
Journal Article
Liu, J., Qiu, G., & Shen, L. (in press). Luminance adaptive biomarker detection in digital pathology images. Procedia Computer Science, 90, https://doi.org/10.1016/j.procs.2016.07.032

Digital pathology is set to revolutionise traditional approaches diagnosing and researching diseases. To realise the full potential of digital pathology, accurate and robust computer techniques for automatically detecting biomarkers play an important... Read More about Luminance adaptive biomarker detection in digital pathology images.

Statistical colour models: an automated digital image analysis method for quantification of histological biomarkers (2016)
Journal Article
Shu, J., Dolman, G., Duan, J., Qiu, G., & Ilyas, M. (in press). Statistical colour models: an automated digital image analysis method for quantification of histological biomarkers. BioMedical Engineering OnLine, 15(1), https://doi.org/10.1186/s12938-016-0161-6

Background: Colour is the most important feature used in quantitative immunohisto- chemistry (IHC) image analysis; IHC is used to provide information relating to aetiology and to con rm malignancy. Methods: Statistical modelling is a technique widel... Read More about Statistical colour models: an automated digital image analysis method for quantification of histological biomarkers.