1 code implementation • 25 Sep 2022 • Xiaofeng Lei, Shaohua Li, Xinxing Xu, Huazhu Fu, Yong liu, Yih-Chung Tham, Yangqin Feng, Mingrui Tan, Yanyu Xu, Jocelyn Hui Lin Goh, Rick Siow Mong Goh, Ching-Yu Cheng
Therefore, localization has its unique challenges different from segmentation or detection.
no code implementations • IEEE Transactions on Medical Imaging 2021 • Yan Wang, Zizhou Wang, Yangqin Feng, Lei Zhang
Our proposed method can be easily applied to an existing convolutional neural network to improve mammographic image classification performance.
Ranked #1 on Suspicous (BIRADS 4,5)-no suspicous (BIRADS 1,2,3) per image classification on InBreast
Image Classification Suspicous (BIRADS 4,5)-no suspicous (BIRADS 1,2,3) per image classification
1 code implementation • 10 Jul 2021 • Shaohua Li, Xiuchao Sui, Jie Fu, Huazhu Fu, Xiangde Luo, Yangqin Feng, Xinxing Xu, Yong liu, Daniel Ting, Rick Siow Mong Goh
Thus, the chance of overfitting the annotations is greatly reduced, and the model can perform robustly on the target domain after being trained on a few annotated images.