PrerequisitesBefore starting this lesson, you should be familiar with:
Learning ObjectivesAfter completing this lesson, learners should be able to:
Understand the difference between instance and semantic segmentation
Bioimage analysis very often is concerned with the measurement of features (intensity, shape, …) of individual objects (cells, nuclei, …) or regions (mesoderm, inter-cellular space, …) in images. The process of partitioning an image into objects and regions is called “image segmentation” and due to its prevalence is of central importance to bioimage analysis.
graph TD I[Image] --> S(Semantic segmentation) I --> O(Instance segmentation) O --- IO(Individual objects) S --- R(Regions of same type)
Recommended follow-up modules: