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

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

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...

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Main Authors: Xu, Shuoyu (Author), Wang, Yan (Author), Tai, Dean C.S (Author), Wang, Shi (Author), Cheng, Chee Leong (Author), Peng, Qiwen (Author), Yan, Jie (Author), Chen, Yongpeng (Author), Sun, Jian (Author), Liang, Xieer (Author), Zhu, Youfu (Author), Welsch, Roy E. (Contributor), Wee, Aileen (Author), Hou, Jinlin (Author), Yu, Hanry (Contributor), Rajapakse, Jagath (Contributor), So, Peter T. C. (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Biological Engineering (Contributor), Massachusetts Institute of Technology. Department of Mechanical Engineering (Contributor), Sloan School of Management (Contributor)
Format: Article
Language:English
Published: Elsevier, 2014-06-30T18:42:05Z.
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