Background: Breast mass is one of the main symptoms breast cancer. Effective and accurate detection masses at an early stage would be great value for clinical cancer analysis. Methods: We developed a novel framework named GFNet. The GFNet comprised three modules, including patch extraction, feature detection. high robustness generality that can self-adapted to images collected by different imag...