Automated segmentation of abnormal cervical cells using global and local graph cuts. - Ling Zhang 002; Hui Kong 001; Chien Ting Chin; Shaoxiong Liu; Tianfu Wang 001; Siping Chen (ISBI, 2014)

Segmentation of cytoplasm and nuclei of abnormal cells in cervical cytology using global and local graph cuts. - Ling Zhang 002; Hui Kong 001; Chien Ting Chin; Shaoxiong Liu; Zhi Chen 025; Tianfu Wang 001; Siping Chen (Comput. Medical Imaging Graph., 2014)

Improved segmentation of abnormal cervical nuclei using a graph-search based approach. - Ling Zhang 002; Shaoxiong Liu; Tianfu Wang 001; Siping Chen; Milan Sonka (Digital Pathology, 2015)

Graph-based segmentation of abnormal nuclei in cervical cytology. - Ling Zhang 002; Hui Kong 001; Shaoxiong Liu; Tianfu Wang 001; Siping Chen; Milan Sonka (Comput. Medical Imaging Graph., 2017)

DeepPap: Deep Convolutional Networks for Cervical Cell Classification. - Ling Zhang 002; Le Lu 001; Isabella Nogues; Ronald M. Summers; Shaoxiong Liu; Jianhua Yao 001 (IEEE J. Biomed. Health Informatics, 2017)

GT-Net: A Deep Learning Network for Gastric Tumor Diagnosis. - Yuexiang Li; Xinpeng Xie; Shaoxiong Liu; Xuechen Li 001; Linlin Shen (ICTAI, 2018)

Reversed Active Learning based Atrous DenseNet for Pathological Image Classification. - Yuexiang Li; Xinpeng Xie; Linlin Shen; Shaoxiong Liu (CoRR, 2018)

Reverse active learning based atrous DenseNet for pathological image classification. - Yuexiang Li; Xinpeng Xie; Linlin Shen; Shaoxiong Liu (BMC Bioinform., 2019)

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 003 (IEEE Trans. Biomed. Eng., 2021)