Meiyun Wang

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 …

A Novel Algorithm for Breast Mass Classification in Digital Mammography Based on Feature Fusion

2020 · Journal of Healthcare Engineering

Prompt diagnosis of benign and malignant breast masses is essential for early breast cancer screening. Convolutional neural networks (CNNs) can be used to assist in the classification of benign and malignant breast masses. A persistent …