Nuclear IHC enumeration: A digital phantom to evaluate the performance of automated algorithms in digital pathology.

ABSTRACT: Automatic and accurate detection of positive and negative nuclei from images of immunostained tissue biopsies is critical to the success of digital pathology. The evaluation of most nuclei detection algorithms relies on manually generated ground truth prepared by pathologists, which is unfortunately time-consuming and suffers from inter-pathologist variability. In this work, we developed a digital immunohistochemistry (IHC) phantom that can be used for evaluating computer algorithms for enumeration of IHC positive cells. Our phantom development consists of two main steps, 1) extraction of the individual as well as nuclei clumps of both positive and negative nuclei from real WSI images, and 2) systematic placement of the extracted nuclei clumps on an image canvas. The resulting images are v

SUBMITTER: Niazi MKK 

PROVIDER: S-EPMC5944932 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature