We are proud to announce that Dionysios Anyfantis, PhD student and esteemed member of the SIPPRE Lab, has co-authored a significant research paper titled:
“Breast Density Transformations Using CycleGANs for Revealing Undetected Findings in Mammograms”
Published in the journal Signals (2023, Volume 4, Pages 421–438), this work introduces a novel method utilizing CycleGANs to enhance breast cancer detection by transforming dense breast tissue in mammograms to lower-density representations. This approach significantly improves the diagnostic accuracy of computer-aided systems, aiding radiologists in identifying previously masked abnormalities.
This achievement highlights the cutting-edge research happening at the SIPPRE Lab and the contributions of our dedicated members to advancing medical imaging and deep learning technologies.
Congratulations to Dionysios and the co-authors on this remarkable accomplishment! We look forward to seeing more groundbreaking work from him and the team.
For more details, you can access the full paper here.