Methods for Nuclei Detection, Segmentation, and Classification in Digital Histopathology: A Review—Current Status and Future Potential
Université Joseph Fourier · Sorbonne Université · +1 more institution
Abstract
Digital pathology represents one of the major evolutions in modern medicine. Pathological examinations constitute the gold standard in many medical protocols, and also play a critical and legal role in the diagnosis process. In the conventional cancer diagnosis, pathologists analyze biopsies to make diagnostic and prognostic assessments, mainly based on the cell morphology and architecture distribution. Recently, computerized methods have been rapidly evolving in the area of digital pathology, with growing applications related to nuclei detection, segmentation, and classification. In cancer research, these approaches have played, and will continue to play a key (often bottleneck) role in minimizing human…
Citation impact
- FWCI
- 67.65
- Percentile
- 100%
- References
- 127
Authors
4Topics & keywords
- Digital pathology
- Grading (engineering)
- Computer science
- Segmentation
- Pathology
- Histopathology
- Artificial intelligence
- Medical imaging