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Dataset Information

Deep fusion of contextual and object-based representations for delineation of multiple nuclear phenotypes.


ABSTRACT:

Motivation

Nuclear delineation and phenotypic profiling are important steps in the automated analysis of histology sections. However, these are challenging problems due to (i) technical variations (e.g. fixation, staining) that originate as a result of sample preparation; (ii) biological heterogeneity (e.g. vesicular versus high chromatin phenotypes, nuclear atypia) and (iii) overlapping nuclei. This Application-Note couples contextual information about the cellular organization with the individual signature of nuclei to improve performance. As a result, routine delineation of nuclei in H&E stained histology sections is enabled for either computer-aided pathology or integration with genome-wide molecular data.

Results

The method has been evaluated on two independent datasets

SUBMITTER: Khoshdeli M 

PROVIDER: S-EPMC6853689 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature