[HTML][HTML] Deep-learning-based accurate hepatic steatosis quantification for histological assessment of liver biopsies
Hepatic steatosis droplet quantification with histology biopsies has high clinical significance
for risk stratification and management of patients with fatty liver diseases and in the decision
to use donor livers for transplantation. However, pathology reviewing processes, when
conducted manually, are subject to a high inter-and intra-reader variability, due to the
overwhelmingly large number and significantly varying appearance of steatosis instances.
This process is challenging as there is a large number of overlapped steatosis droplets with …
for risk stratification and management of patients with fatty liver diseases and in the decision
to use donor livers for transplantation. However, pathology reviewing processes, when
conducted manually, are subject to a high inter-and intra-reader variability, due to the
overwhelmingly large number and significantly varying appearance of steatosis instances.
This process is challenging as there is a large number of overlapped steatosis droplets with …
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