**Active Contour Segmentation**  
- Caselles, V., Kimmel, R., and Sapiro, G. (1997). Geodesic active contours. *International Journal of Computer Vision*, 22(1), 61-79.  
- Zhu, S. C., & Yuille, A. (1996). Region competition: Unifying snakes, region growing, and Bayes/MDL for multiband image segmentation. *Pattern Analysis and Machine Intelligence, IEEE Transactions on*, 18(9), 884-900.  
- Sethian, J. A. (1999). Level set methods and fast marching methods: evolving interfaces in computational geometry, fluid mechanics, computer vision, and materials science (Vol. 3). Cambridge University Press.  

**Random Forest Classification**
- Breiman, L. (2001). Random forests. *Machine Learning*, 45(1), 5-32.  
- Criminisi, A., & Shotton, J. (2013). Decision forests for computer vision and medical image analysis. Springer Science & Business Media.

**Deep Learning Segmentation**
- Isensee, F., Rokuss, M., Krämer, L., Dinkelacker, S., Ravindran, A., Stritzke, F., Hamm, B., Wald, T., Langenberg, M., Ulrich, C., Deissler, J., Floca, R., & Maier-Hein, K. (2025). nnInteractive: Redefining 3D Promptable Segmentation. *arXiv preprint arXiv:2503.08373*. [https://arxiv.org/abs/2503.08373](https://arxiv.org/abs/2503.08373)