Whole slide imaging and its applications to histopathological studies of liver disorders

RCN Melo, MWD Raas, C Palazzi, VH Neves… - Frontiers in …, 2020 - frontiersin.org
Histological analysis of hepatic tissue specimens is essential for evaluating the pathology of
several liver disorders such as chronic liver diseases, hepatocellular carcinomas, liver …

[HTML][HTML] Deep-learning-based accurate hepatic steatosis quantification for histological assessment of liver biopsies

M Roy, F Wang, H Vo, D Teng, G Teodoro… - Laboratory …, 2020 - Elsevier
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 …

Training of deep convolutional neural networks to identify critical liver alterations in histopathology image samples

A Arjmand, CT Angelis, V Christou, AT Tzallas… - Applied Sciences, 2019 - mdpi.com
Nonalcoholic fatty liver disease (NAFLD) is responsible for a wide range of pathological
disorders. It is characterized by the prevalence of steatosis, which results in excessive …

Liver steatosis segmentation with deep learning methods

X Guo, F Wang, G Teodoro, AB Farris… - 2019 IEEE 16th …, 2019 - ieeexplore.ieee.org
Liver steatosis is known as the abnormal accumulation of lipids within cells. An accurate
quantification of steatosis area within the liver histopathological microscopy images plays an …

Transfer learning versus custom CNN architectures in NAFLD biopsy images

A Arjmand, V Christou, AT Tzallas… - 2020 43rd …, 2020 - ieeexplore.ieee.org
Nonalcoholic fatty liver disease (NAFLD) is one of the most frequent liver conditions
representing a wide range of intrahepatic disorders, varying from steatosis to nonalcoholic …

Quantitative assessment of liver fibrosis by digital image analysis reveals correlation with qualitative clinical fibrosis staging in liver transplant patients

K Jiang, MK Mohammad, WA Dar, J Kong, AB Farris - Plos one, 2020 - journals.plos.org
Technologies for digitizing tissues provide important quantitative data for liver
histopathology investigation. We aimed to assess liver fibrosis degree with quantitative …

[HTML][HTML] An evolutionary algorithm-based optimization method for the classification and quantification of steatosis prevalence in liver biopsy images

A Arjmand, V Christou, IG Tsoulos, MG Tsipouras… - Array, 2021 - Elsevier
Non-alcoholic fatty liver disease (NAFLD) covers a range of chronic medical conditions
varying from hepatocellular inflammation which characterizes nonalcoholic steatohepatitis …

[PDF][PDF] DELINEATE Architecture

M Roy, F Wang, H Vo, D Teng, G Teodoro, AB Farris… - laboratoryinvestigation.org
Our input training dataset is denoted as D={(Xi, Yi), i= 1, 2,..., N}, where N is the total number
of image patches. Each input image patch Xi has 512× 512 pixels in size. The …

[引用][C] Τεχνικές ψηφιακής επεξεργασίας εικόνας για την ανάλυση μικροσκοπικής απεικόνισης ιστοπαθολογίας

Α Μπανταλούκας-Αρτζμάντ - 2023