CF2-Net: Coarse-to-Fine Fusion Convolutional Network for Breast Ultrasound Image Segmentation. - Zhenyuan Ning; Ke Wang; Shengzhou Zhong; Qianjin Feng; Yu Zhang 064 (CoRR, 2020)

Saliency map-guided hierarchical dense feature aggregation framework for breast lesion classification using ultrasound image. - Xiaohui Di; Shengzhou Zhong; Yu Zhang (Comput. Methods Programs Biomed., 2022)

SMU-Net: Saliency-Guided Morphology-Aware U-Net for Breast Lesion Segmentation in Ultrasound Image. - Zhenyuan Ning; Shengzhou Zhong; Qianjin Feng; Wufan Chen; Yu Zhang 064 (IEEE Trans. Medical Imaging, 2022)

Decomposing and Coupling Saliency Map for Lesion Segmentation in Ultrasound Images. - Zhenyuan Ning; Yixiao Mao; Qianjin Feng; Shengzhou Zhong; Yu Zhang 064 (CoRR, 2023)

MsGoF: Breast lesion classification on ultrasound images by multi-scale gradational-order fusion framework. - Shengzhou Zhong; Chao Tu; Xiuyu Dong; Qianjin Feng; Wufan Chen; Yu Zhang 064 (Comput. Methods Programs Biomed., 2023)

DC-Net: Decomposing and coupling saliency map for lesion segmentation in ultrasound images. - Zhenyuan Ning; Yixiao Mao; Xiaotong Xu; Qianjin Feng; Shengzhou Zhong; Yu Zhang 064 (Eng. Appl. Artif. Intell., 2025)

Cross-view discrepancy-dependency network for volumetric medical image segmentation. - Shengzhou Zhong; Wenxu Wang 001; Qianjin Feng; Yu Zhang 064; Zhenyuan Ning (Medical Image Anal., 2025)