Biomedical Engineering students Jeremy Juybari (short hair) and Josh Hamilton (long hair) stand outside their CompuMAINE lab inside Ferland Hall, part of the MCEC, developing methods of AI assisted breast cancer detection." data-image-caption="Left to right: Jeremy Juybari, PhD, electrical and computer engineering, and Josh Hamilton, doctoral candidate in biomedical engineering, have developed a breast cancer detection tool that uses AI processing to more quickly and accurately identify cancerous tissue.Photo courtesy University of Maine" data-medium-file="https://www.pressherald.com/wp-content/uploads/sites/4/2026/02/P14-BreastCancer-1.jpg?w=300" data-large-file="https://www.pressherald.com/wp-content/uploads/sites/4/2026/02/P14-BreastCancer-1.jpg?w=780" />The Context-Guided Segmentation Network has the potential to increase the speed and accuracy of breast cancer diagnoses.
University of Maine researchers develop a lifesaving breast cancer detection tool that uses artificial intelligence
