A cell level automated approach for quantifying antibody staining in immunohistochemistry images. A structural approach for quantifying antibody staining in colonic cancer spheroid images by integrating image processing and machine learning towards the implementation of computer aided scoring of cancer markers.
Immunohistological (IHC) stained images occupy a fundamental role in the pathologist¿s diagnosis and monitoring of cancer development. The manual process of monitoring such images is a subjective, time consuming process that typically relies on the visual ability and experience level of the patholog...
| Main Author: | |
|---|---|
| Other Authors: | |
| Language: | en |
| Published: |
University of Bradford
2013
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10454/5763 |