Bulletin du Cancer
MENUNeighborhood graphs and image processing. Application to images of immunohistochemical staining Volume 84, issue 9, Septembre 1997
Figures
François Angot, Paulette Herlin, Abderrahim Elmoataz, Marinette Revenu, Anne-Marie Mandard, Daniel Bloyet
- Key words: quantitative immunohistochemistry, image analysis, neighborhood graphs.
- Page(s) : 849-54
- Published in: 1997
Devising an image analyzer dedicated to the automatic quantification of immunohistochemical staining for clinical oncology implies developing a method for the delimitation of tumoral cell nests, setting aside tumoral stroma, while accounting for the topology of the staining. The representation of images by neighborhood graphs can bring an answer to both requirements. In this paper, a methodological approach is presented. It consists in a preliminary study dealing with nuclear immunostaining images of breast cancer. Segmentation of the graph structure allows to separate clusters of cancer cells and the analysis of this structure can account for the focal or diffuse aspect of the staining within the tumor.