Examination of tissue biopsy and quantification of the various characteristics of cellular
processes are clinical benchmarks in cancer diagnosis. Nuclei and glands instance
segmentation greatly assists the high-throughput quantification of cellular process and
accurate appraisal of tissue biopsy. It subsequently makes a significant improvement to the
computational pathology process for cancer diagnosis, treatment planning, and survival
analysis. Recent advancements in the field of computer vision have automated the manual …

Instance segmentation of nuclei and glands in the histology images is an important step in
computational pathology workflow for cancer diagnosis, treatment planning and survival
analysis. With the advent of modern hardware, the recent availability of large-scale quality
public datasets and the community organized grand challenges have seen a surge in
automated methods focusing on domain specific challenges, which is pivotal for technology
advancements and clinical translation. In this survey, 126 papers illustrating the AI based …