We are proud to announce the latest publication from our lab in the prestigious journal Electronics:
“Revealing Occult Malignancies in Mammograms Through GAN-Driven Breast Density Transformation”
Authored by Dionysios Anyfantis, PhD student at the SIPPRE Lab, in collaboration with our team, this work explores the application of CycleGANs to transform mammograms of dense breast tissue into lower-density representations. By doing so, the study significantly improves the detection of hidden abnormalities, contributing to the advancement of breast cancer diagnostics.
This innovative research highlights the intersection of deep learning and medical imaging, showcasing how AI can revolutionize healthcare and assist radiologists in making more accurate diagnoses.
You can access the full paper here.
Congratulations to Dionysios Anyfantis for this outstanding achievement and his continued contributions to medical imaging and AI research. We look forward to seeing more groundbreaking work from him in the future!