Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
504060 | Computerized Medical Imaging and Graphics | 2015 | 5 Pages |
Abstract
Computerized image analysis (IA) can provide quantitative and repeatable object measurements by means of methods such as segmentation, indexation, classification, etc. Embedded in reliable automated systems, IA could help pathologists in their daily work and thus contribute to more accurate determination of prognostic histological factors on whole slide images. One of the key concept pathologists want to dispose of now is a numerical estimation of heterogeneity. In this study, the objective is to propose a general framework based on the diffusion maps technique for measuring tissue heterogeneity in whole slide images and to apply this methodology on breast cancer histopathology digital images.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Philippe Belhomme, Simon Toralba, BenoƮt Plancoulaine, Myriam Oger, Metin N. Gurcan, Catherine Bor-Angelier,