UMaine-led research featured by National Cancer Institute

A deep learning model developed by Yifeng Zhu, chair and professor of electrical and computer engineering, has been featured by the National Cancer Institute’s Center for Biomedical Informatics and Information Technology in the article, “Deep Learning Model CGS-Net Enhances Medical Image Analysis”. 

The model, called CGS-Net, or Context Guided Segmentation Network, improves medical image analysis by mimicking how pathologists switch between wide and detailed views under a microscope. This innovative approach significantly enhances cancer detection accuracy and holds promise for improving diagnostic speed and precision, particularly in underserved areas.

Learn more about the research, here.

Contact: Taylor Ward, taylor.ward@maine.edu