Xiaojing Kang

According to our database, Xiaojing Kang authored at least 9 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Improved U-Net based on contour attention for efficient segmentation of skin lesion.

Shuang Liang, Shengwei Tian, Long Yu, Xiaojing Kang

Multim. Tools Appl., March, 2024

CR-Conformer: a fusion network for clinical skin lesion classification.

Dezhi Zhang, Aolun Li, Weidong Wu, Long Yu, Xiaojing Kang, Xiangzuo Huo

Medical Biol. Eng. Comput., January, 2024

2023

Skin lesion classification base on multi-hierarchy contrastive learning with pareto optimality.

Shuang Liang, Shengwei Tian, Xiaojing Kang, Dezhi Zhang, Weidong Wu, Long Yu

Biomed. Signal Process. Control., September, 2023

Skin disease migration segmentation network based on multi-scale channel attention.

Bin Yu, Long Yu, Shengwei Tian, Weidong Wu, Dezhi Zhang, Xiaojing Kang

Comput. methods Biomech. Biomed. Eng. Imaging Vis., May, 2023

2022

ResGANet: Residual group attention network for medical image classification and segmentation.

Junlong Cheng, Shengwei Tian, Long Yu, Chengrui Gao, Xiaojing Kang, Xiang Ma, Weidong Wu, Shijia Liu, Hongchun Lu

Medical Image Anal., 2022

Calibration and Distraction Mining Network for Aortic True Lumen segmentation.

Xin Fan, Shengwei Tian, Long Yu, Min Han, Lu Liu, Junlong Cheng, Weidong Wu, Xiaojing Kang, Dezhi Zhang

J. Intell. Fuzzy Syst., 2022

DCACNet: Dual context aggregation and attention-guided cross deconvolution network for medical image segmentation.

Hongchun Lu, Shengwei Tian, Long Yu, Lu Liu, Junlong Cheng, Weidong Wu, Xiaojing Kang, Dezhi Zhang

Comput. Methods Programs Biomed., 2022

mCA-Net: modified comprehensive attention convolutional neural network for skin lesion segmentation.

Bin Yu, Long Yu, Shengwei Tian, Weidong Wu, Dezhi Zhang, Xiaojing Kang

Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2022

APT-Net: Adaptive encoding and parallel decoding transformer for medical image segmentation.

Ning Zhang, Long Yu, Dezhi Zhang, Weidong Wu, Shengwei Tian, Xiaojing Kang

Comput. Biol. Medicine, 2022