Content Generation Models in Computational Pathology: A Comprehensive Survey on Methods, Applications, and Challenges

Yuan Zhang, Xinfeng Zhang, Xiaoming Qi +4

Content generation modeling has emerged as a promising direction in computational pathology, offering capabilities such as data-efficient learning, synthetic data augmentation, and…