A Comprehensive Overview of Computational Nuclei Segmentation Methods in Digital Pathology

Understand

In the cancer diagnosis pipeline, digital pathology plays an instrumental role in the identification, staging, and grading of malignant areas on biopsy tissue specimens.

• High resolution histology images are subject to high variance in appearance, sourcing either from the acquisition devices or the H\&E staining process.
• Nuclei segmentation is an important task, as it detects the nuclei cells over background tissue and gives rise to the topology, size, and count of nuclei which are determinant factors for cancer detection.
• Yet, it is a fairly time consuming task for pathologists, with reportedly high subjectivity.