Shaoxiong Liu

According to our database, Shaoxiong Liu authored at least 9 papers between 2014 and 2021.

Collaborative distances:

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

2021

Deriving Polarimetry Feature Parameters to Characterize Microstructural Features in Histological Sections of Breast Tissues.

Yang Dong, Jiachen Wan, Lu Si, Yixin Meng, Yanmin Dong, Shaoxiong Liu, Honghui He, Hui Ma

IEEE Trans. Biomed. Eng., 2021

2019

Reverse active learning based atrous DenseNet for pathological image classification.

Yuexiang Li, Xinpeng Xie, Linlin Shen, Shaoxiong Liu

BMC Bioinform., 2019

2018

Reversed Active Learning based Atrous DenseNet for Pathological Image Classification.

Yuexiang Li, Xinpeng Xie, Linlin Shen, Shaoxiong Liu

CoRR, 2018

GT-Net: A Deep Learning Network for Gastric Tumor Diagnosis.

Yuexiang Li, Xinpeng Xie, Shaoxiong Liu, Xuechen Li, Linlin Shen

Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

2017

DeepPap: Deep Convolutional Networks for Cervical Cell Classification.

Ling Zhang, Le Lu, Isabella Nogues, Ronald M. Summers, Shaoxiong Liu, Jianhua Yao

IEEE J. Biomed. Health Informatics, 2017

Graph-based segmentation of abnormal nuclei in cervical cytology.

Ling Zhang, Hui Kong, Shaoxiong Liu, Tianfu Wang, Siping Chen, Milan Sonka

Comput. Medical Imaging Graph., 2017

2015

Improved segmentation of abnormal cervical nuclei using a graph-search based approach.

Ling Zhang, Shaoxiong Liu, Tianfu Wang, Siping Chen, Milan Sonka

Proceedings of the Medical Imaging 2015: Digital Pathology, 2015

2014

Segmentation of cytoplasm and nuclei of abnormal cells in cervical cytology using global and local graph cuts.

Ling Zhang, Hui Kong, Chien Ting Chin, Shaoxiong Liu, Zhi Chen, Tianfu Wang, Siping Chen

Comput. Medical Imaging Graph., 2014

Automated segmentation of abnormal cervical cells using global and local graph cuts.

Ling Zhang, Hui Kong, Chien Ting Chin, Shaoxiong Liu, Tianfu Wang, Siping Chen

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014