Digital Pathology of Cancer


Computational Grading of GI-NETs

We developed automated Ki-67 index estimation pipelines for gastrointestinal neuroendocrine tumors (GI-NETs) for defining the tumor grade using computational image analysis and deep learning tools. Our pipelines can improve accuracy and potentially save a significant amount of time if implemented into clinical practice.