Poster

Machine Learning Based Quantification of Histology Features from Patients Treated for Chronic Hepatitis B Identifies Features Associated with Viral DNA Suppression and HBeAg Loss

AASLD 2020

Study Background

♦Chronic hepatitis B virus (CHB) infection is associated with cirrhosis, liver decompensation, and hepatocellular carcinoma

♦ HBV DNA suppression and hepatitis B e antigen (HBeAg) loss are important outcomes for patients undergoing treatment for CHB infection; however, the relationships of these outcomes with histology have not been fully elucidated

♦ Computational pathology leveraging convolutional neural networks could facilitate characterization of histologic features associated with HBV DNA suppression and HBeAg loss
View Poster

Authors

Shukla et al.