12 citations · 14 across the 3 of their papers we have counts for
3 papers · 1 filter
COIN: Contrastive Identifier Network for Breast Mass Diagnosis in Mammography
Heyi Li, Dongdong Chen, William H. Nailon +2
Computer-aided breast cancer diagnosis in mammography is a challenging problem, stemming from mammographical data scarcity and data entanglement. In particular, data scarcity is at…
A Deep DUAL-PATH Network for Improved Mammogram Image Processing
Heyi Li, Dongdong Chen, William H. Nailon +2
We present, for the first time, a novel deep neural network architecture called \dcn with a dual-path connection between the input image and output class label for mammogram image…
Improved Breast Mass Segmentation in Mammograms with Conditional Residual U-net
Heyi Li, Dongdong Chen, Bill Nailon +2
We explore the use of deep learning for breast mass segmentation in mammograms. By integrating the merits of residual learning and probabilistic graphical modelling with standard U…