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

• Main Authors: 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, Rajapakse, Jagath Chandana, Welsch, Roy E., So, Peter T.C., Wee, Aileen, Hou, Jinlin, Yu, Hanry
• Other Authors: School of Computer Engineering
• Format: Article
• Language: English
• Published: 2016
• Subjects: qFibrosis; Liver fibrosis assessment
• Online Access: https://hdl.handle.net/10356/82162; http://hdl.handle.net/10220/41152
• Institution: Nanyang Technological University

Background & Aims: There is increasing need for accurate assessment of liver fibrosis/cirrhosis. We aimed to develop qFibrosis, a fully-automated assessment method combining quantification of histopathological architectural features, to address unmet needs in core biopsy evaluation of fibrosis i...