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
♦ 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
Authors
Shukla et al.