1. Introduction

2. Background  
2.1. Development of the Field of XAI in Computer Vision  
2.2. Specifics of Semantic Segmentation  
2.3. Limitations

3. Taxonomy  
3.1. Scope: Local vs Global  
3.2. Method and its Timing: Post-hoc vs Ad-hoc  
3.3. Range: Model-specific vs Model-agnostic  
3.4. XAI Taxonomy for Image Segmentation

4. XAI for Image Segmentation  
4.1. Methods  
4.2. Metrics

5. Applications  
5.1. Medical Applications  
5.2. Industry-related Applications  
5.3. XAI Applications in Self-Supervised and Weakly Supervised Segmentation

6. Discussion  
6.1. Open Issues  
6.2. Future Directions

7. Conclusion