Pathology Image-Text Structured Alignment Based on Multiple Instance Learning
Pengyu Guo
T
he pathology foundation model trained on massive pathological texts provides strong pathology image-text alignment capabilities, offering a new solution to the original pathology image analysis problems based on multiple instance learning. The combination of these two technologies can provide higher quality, reliable, and interpretable solutions for a variety of downstream pathology tasks, such as WSI classification and survival prediction.
cao@ust.hk | HKUST(GZ) Medical Data Intelligence Laboratory