亢宇鑫｜榆林学院｜学者主页

2026

An automatic detection model for spread through air spaces in postoperative pathological sections based on deep learning in NSCLC.

Yu Zhang, Shu-Zhe Deng, M. Guo, Yuxin Kang, Enguang Lin, Hong-Xue Meng, Fen-Qi Du, Yan-Bin Zhao

Computer Assisted Surgery

DOI

2025

Exploring Unbiased Activation Maps for Weakly Supervised Tissue Segmentation of Histopathological Images

Yuxin Kang, Hansheng Li, Xiaoshuang Shi, Xiao Zhang, Yaqiong Xing, Yu-Ting Wen, Yi Wang, Lei Cui, Jun Feng, Lin Yang

IEEE Transactions on Medical Imaging

DOI

2024

Predicting the Cell-level PD-L1 Expression Status from H&E-stained Histopathological Slide

Mo Zhou, Hansheng Li, Zhizezhang Gao, Meng Lu, Xiao Zhang, Yuxin Kang, Lei Cui, Jun Feng, Lin Yang

Annual International Conference of the IEEE Engineering in Medicine and Biology Society

DOI

2023

Automated Region Learning Via Cell-Level Labels to Modify Cell Detection Process For Histopathological Images

Dongqing Hu, Hansheng Li, Yuxin Kang, Jiayu Luo, Qingguo Yan, Ying Guo, Lei Cui, Jun Feng, L. Yang

IEEE International Symposium on Biomedical Imaging

DOI

2023

Addressing Sparse Annotation: a Novel Semantic Energy Loss for Tumor Cell Detection from Histopathologic Images

Zhengyang Xu, Xiang-Long Du, Yuxin Kang, Hong Lv, Ming Li, Wen-Tao Yang, Lei Cui, Hansheng Li, Yaqiong Xing, Jun Feng, Lin Yang

IEEE International Conference on Bioinformatics and Biomedicine

DOI

2023

Segment Membranes and Nuclei from Histopathological Images via Nuclei Point-Level Supervision

Hansheng Li, Zhengyang Xu, Mo Zhou, Xiaoshuang Shi, Yuxin Kang, Qi-Rong Bu, Hong Lv, Ming Li, Mingzhen Lin, Lei Cui, Jun Feng, Wen-Tao Yang, Lin Yang

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2023

Improving domain generalization performance for medical image segmentation via random feature augmentation.

Yuxin Kang, Xuan Zhao, Yu Zhang, Hansheng Li, Guan Wang, Lei Cui, Ya-Qiong Xing, Jun Feng, Lin Yang

Methods

DOI

2022

A Random Feature Augmentation for Domain Generalization in Medical Image Segmentation

Xuan Zhao, Yuxin Kang, Hansheng Li, Jiayu Luo, Lei Cui, Jun Feng, Lin Yang

IEEE International Conference on Bioinformatics and Biomedicine

DOI

2022

Invariant Content Synergistic Learning for Domain Generalization on Medical Image Segmentation

Yuxin Kang, Hansheng Li, Xuan Zhao, Xiao-Shuang Shi, Fei-Hong Liu, Qingguo Yan, Ying Guo, Lei Cui, Jun Feng, L. Yang

IEEE International Conference on Bioinformatics and Biomedicine

DOI

2021

基于多尺度特征和注意力机制的肝脏组织病理图像语义分割网络

张墺琦，亢宇鑫，武卓越，崔磊，卜起荣

《模式识别与人工智能》

DOI

2021

Automated tumor proportion scoring for PD-L1 expression based on multistage ensemble strategy in non-small cell lung cancer

B. Pan, Yuxin Kang, Yan-Ze Jin, Lin Yang, Yu-Shuang Zheng, Lei Cui, Jian Sun, Jun Feng, Yuan Li, Ling-Chuan Guo, Zhi-Yong Liang

Journal of Translational Medicine

DOI

2021

Boosting Boundary Representation for Gland Instance Segmentation

Yuxin Kang, Hansheng Li, Zhuoyue Wu, Fei-Hong Liu, Dongqing Hu, Lei Cui, Jun Feng, Lin Yang

IEEE International Conference on Bioinformatics and Biomedicine

DOI

2021

A Robust Training Method for Pathological Cellular Detector via Spatial Loss Calibration

Hansheng Li, Yuxin Kang, Wen-Tao Yang, Zhuoyue Wu, Xiao-Shuang Shi, Fei-Hong Liu, Jianye Liu, Lingyu Hu, Qian Ma, Lei Cui, Jun Feng, Lin Yang

Frontiers in Medicine

DOI

2021

Robust Pathological Detector Training Method on Sparsely Annotated Datasets via Spatial Cues

Hansheng Li, Yuxin Kang, Lingyu Hu, Qian Ma, Lei Cui, Jun Feng, Lin Yang, Wen-Tao Yang

IEEE International Conference on Bioinformatics and Biomedicine

DOI

2021

Interpretable Histopathology Image Diagnosis via Whole Tissue Slide Level Supervision

Zhuoyue Wu, Hansheng Li, Lei Cui, Yuxin Kang, Jianye Liu, Haider Ali, Jun Feng, Lin Yang

MLMI@MICCAI

DOI

2021

A Novel Framework for Lymphatic Invasion Detection Based on Efficient Medical Images Translation Network

Zixu Tong, Yuxin Kang, Han Ying, Chen He, Lei Cui, Jin Qi

International Conference on the Software Process

DOI

2020

A Novel Encoding and Decoding Calibration Guiding Pathway for Pathological Image Analysis

Hansheng Li, Jianping Li, Yuxin Kang, Chun-Bao Wang, Fei-Hong Liu, Wenli Hui, Qi-Rong Bo, Lei Cui, Jun Feng, L. Yang

IEEE/ACM Transactions on Computational Biology & Bioinformatics

DOI

2020

A Novel Loss Calibration Strategy for Object Detection Networks Training on Sparsely Annotated Pathological Datasets

Hansheng Li, Xin Han, Yuxin Kang, Xiao-Shuang Shi, Meng-Di Yan, Zixu Tong, Qi-Rong Bu, Lei Cui, Jun Feng, Lin Yang

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2020

Automated Tumor Proportion Scoring for Assessment of PD-L1 Expression Based on Multi-Stage Ensemble Strategy

Yuxin Kang, Hansheng Li, Xin Han, B. Pan, Yuan Li, Yan Jin, Qi-Rong Bu, Lei Cui, Jun Feng, L. Yang

MLMI@MICCAI

DOI

2020

A deep learning-based framework for lung cancer survival analysis with biomarker interpretation

Lei Cui, Hansheng Li, Wenli Hui, Si-Tong Chen, Lin Yang, Yuxin Kang, Qi-Rong Bo, Jun Feng

BMC Bioinformatics

DOI

2019

Global Bank: A Guided Pathway of Encoding and Decoding for Pathological Image Analysis

Hansheng Li, Jun Feng, Baosheng Kang, Yuxin Kang, Fei-Hong Liu, Wenli Hui, Qi-Rong Bo, Chun-Bao Wang, Lin Yang, Lei Cui

IEEE International Conference on Bioinformatics and Biomedicine

DOI

2019

$S^{3}$ Net: Trained on a Small Sample Segmentation Network for Biomedical Image Analysis

Meng-Di Yan, Hansheng Li, Baosheng Kang, Jun Feng, Yuxin Kang, Tao Zhang, Lin Yang, Lei Cui

IEEE International Conference on Bioinformatics and Biomedicine

DOI

亢宇鑫

精选作品

期刊论文

An automatic detection model for spread through air spaces in postoperative pathological sections based on deep learning in NSCLC.

Exploring Unbiased Activation Maps for Weakly Supervised Tissue Segmentation of Histopathological Images

Predicting the Cell-level PD-L1 Expression Status from H&E-stained Histopathological Slide

Automated Region Learning Via Cell-Level Labels to Modify Cell Detection Process For Histopathological Images

Addressing Sparse Annotation: a Novel Semantic Energy Loss for Tumor Cell Detection from Histopathologic Images

Segment Membranes and Nuclei from Histopathological Images via Nuclei Point-Level Supervision

Improving domain generalization performance for medical image segmentation via random feature augmentation.

A Random Feature Augmentation for Domain Generalization in Medical Image Segmentation

Invariant Content Synergistic Learning for Domain Generalization on Medical Image Segmentation

基于多尺度特征和注意力机制的肝脏组织病理图像语义分割网络

Automated tumor proportion scoring for PD-L1 expression based on multistage ensemble strategy in non-small cell lung cancer

Boosting Boundary Representation for Gland Instance Segmentation

A Robust Training Method for Pathological Cellular Detector via Spatial Loss Calibration

Robust Pathological Detector Training Method on Sparsely Annotated Datasets via Spatial Cues

Interpretable Histopathology Image Diagnosis via Whole Tissue Slide Level Supervision

A Novel Framework for Lymphatic Invasion Detection Based on Efficient Medical Images Translation Network

A Novel Encoding and Decoding Calibration Guiding Pathway for Pathological Image Analysis

A Novel Loss Calibration Strategy for Object Detection Networks Training on Sparsely Annotated Pathological Datasets

Automated Tumor Proportion Scoring for Assessment of PD-L1 Expression Based on Multi-Stage Ensemble Strategy

A deep learning-based framework for lung cancer survival analysis with biomarker interpretation

Global Bank: A Guided Pathway of Encoding and Decoding for Pathological Image Analysis

$S^{3}$ Net: Trained on a Small Sample Segmentation Network for Biomedical Image Analysis

研究方向