Auto-weighting for Breast Cancer Classification in Multimodal Ultrasound

no code implementations • 8 Aug 2020 • Wang Jian, Miao Juzheng, Yang Xin, Li Rui, Zhou Guangquan, Huang Yuhao, Lin Zehui, Xue Wufeng, Jia Xiaohong, Zhou Jianqiao, Huang Ruobing, Ni Dong

A novel multimodal network is proposed, along with promising learnability and simplicity to improve classification accuracy.

Classification General Classification

DropAttention: A Regularization Method for Fully-Connected Self-Attention Networks

no code implementations • 25 Jul 2019 • Lin Zehui, PengFei Liu, Luyao Huang, Junkun Chen, Xipeng Qiu, Xuanjing Huang

Variants dropout methods have been designed for the fully-connected layer, convolutional layer and recurrent layer in neural networks, and shown to be effective to avoid overfitting.