MammoGANesis: Controlled Generation of High-Resolution Mammograms for Radiology Education

1 code implementation • 11 Oct 2020 • Cyril Zakka, Ghida Saheb, Elie Najem, Ghina Berjawi

During their formative years, radiology trainees are required to interpret hundreds of mammograms per month, with the objective of becoming apt at discerning the subtle patterns differentiating benign from malignant lesions.

Attribute Generative Adversarial Network +2