Deep learning enables automated scoring of liver fibrosis stages

by Yu, Yang, Wang, Jiahao, Ng, Chan Way, Ma, Yukun, Mo, Shupei, Fong, Eliza Li Shan, Xing, Jiangwa, Song, Ziwei, Xie, Yufei, Si, Ke, Wee, Aileen, Yu, Hanry, Welsch, Roy E, So, Peter T. C.
Published 2019

qFibrosis: A fully-quantitative innovative method incorporating histological features to facilitate accurate fibrosis scoring in animal model and chronic hepatitis B patients

by Xu, Shuoyu, Wang, Yan, Tai, Dean C.S, Wang, Shi, Cheng, Chee Leong, Peng, Qiwen, Yan, Jie, Chen, Yongpeng, Sun, Jian, Liang, Xieer, Zhu, Youfu, Welsch, Roy E., Wee, Aileen, Hou, Jinlin, Yu, Hanry, Rajapakse, Jagath, So, Peter T. C.
Published 2014

Fibro-C-Index: comprehensive, morphology-based quantification of liver fibrosis using second harmonic generation and two-photon microscopy

by Yu, Hanry, So, Peter T. C., Rajapakse, Jagath, Chen, Chien Shing, Tang, Hui-Huan, Chang, Shi, Xiao, Guangfa, Raja, Anju Mythreyi, Wei, Chiang Li, Wee, Aileen, Cheng, Chee Leong, Chia, Ser-Mien, Kang, Chiang Huen, Xu, Shuoyu, Tan, Nancy, Tai, Dean C. S.
Published 2010