1 citations · 1 across the 1 of their papers we have counts for
3 papers
eess.IV2023★ 1 cited
Decomposing and Coupling Saliency Map for Lesion Segmentation in Ultrasound Images
Zhenyuan Ning, Yixiao Mao, Qianjin Feng +2
Complex scenario of ultrasound image, in which adjacent tissues (i.e., background) share similar intensity with and even contain richer texture patterns than lesion region (i.e., f…
eess.IV2020
CF2-Net: Coarse-to-Fine Fusion Convolutional Network for Breast Ultrasound Image Segmentation
Zhenyuan Ning, Ke Wang, Shengzhou Zhong +2
Breast ultrasound (BUS) image segmentation plays a crucial role in a computer-aided diagnosis system, which is regarded as a useful tool to help increase the accuracy of breast can…
eess.IV2020
Optimizing Generative Adversarial Networks for Image Super Resolution via Latent Space Regularization
Sheng Zhong, Shifu Zhou
Natural images can be regarded as residing in a manifold that is embedded in a higher dimensional Euclidean space. Generative Adversarial Networks (GANs) try to learn the distribut…