Segmentation of glandular epithelium in colorectal tumours to automatically compartmentalise IHC biomarker quantification: A deep learning approach
Medical Image Analysis(2018)
摘要
•We propose a method to automate glandular epithelium segmentation.•Our approach combines Deep Learning and a new method of data augmentation.•Our algorithm efficiently processes H&E as well as IHC images.•Our algorithm achieves state-of-the-art performances.•Our method enables to automate the compartmentalisation of IHC biomarker analyses.
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关键词
Computational pathology,Data augmentation,Deep learning,Gland,Image segmentation,Immunohistochemistry
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