Zaiyi Liu

AUNet: attention-guided dense-upsampling networks for breast mass segmentation in whole mammograms

2019 · Physics in Medicine and Biology

Mammography is one of the most commonly applied tools for early breast cancer screening. Automatic segmentation of breast masses in mammograms is essential but challenging due to the low signal-to-noise ratio and the wide variety …

Curriculum Self-supervised Learning for Weakly-supervised Histopathological Image Segmentation

2021

Histopathological image segmentation is the basic upstream task of pathomics cancer research. However, acquiring pixel-level annotations is extremely difficult and time-consuming. Moreover, it is also expertise-dependent. Researchers pay a lot of attention on how to …