What is it about?
A survey of various methodologies of nuclei segmentation methods from histopathology images. This paper reviews all the major techniques used for segmenting nuclei in pathological images. In the field of histopathology, the evaluation of the disease status is based on cell nuclei information of the tissue images, and appropriate treatments are required for each cancer and grade. Therefore, it is necessary to extract the region of cell nuclei accurately.
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Why is it important?
We focus on automatic computational methods for nuclei/cells segmentation and review some of the important techniques published in the past years. Also, we also surveyed commonly used modality for staining, preprocessing and some basic methods
Read the Original
This page is a summary of: Computational Nuclei Segmentation Methods in Digital Pathology: A Survey, Archives of Computational Methods in Engineering, October 2019, Springer Science + Business Media,
DOI: 10.1007/s11831-019-09366-4.
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