Edge-competing Pathological Liver Vessel Segmentation with Limited Labels [PDF]
arXiv, 2021 The microvascular invasion (MVI) is a major prognostic factor in hepatocellular carcinoma, which is one of the malignant tumors with the highest mortality rate. The diagnosis of MVI needs discovering the vessels that contain hepatocellular carcinoma cells and counting their number in each vessel, which depends heavily on experiences of the doctor, is ...
arxiv
Leveraging weak complementary labels to improve semantic segmentation of hepatocellular carcinoma and cholangiocarcinoma in H&E-stained slides [PDF]
arXiv, 2023 In this paper, we present a deep learning segmentation approach to classify and quantify the two most prevalent primary liver cancers - hepatocellular carcinoma and intrahepatic cholangiocarcinoma - from hematoxylin and eosin (H&E) stained whole slide images.
arxiv
A Surgical Perspective on Targeted Therapy of Hepatocellular Carcinoma. [PDF]
, 2015 Hepatocellular carcinoma (HCC), the second leading cause of cancer deaths worldwide, is difficult to treat and highly lethal. Since HCC is predominantly diagnosed in patients with cirrhosis, treatment planning must consider both the severity of liver ...
Busuttil, Ronald W +2 more
core +2 more sources
Multi-Phase Cross-modal Learning for Noninvasive Gene Mutation Prediction in Hepatocellular Carcinoma [PDF]
2020 42nd Annual International Conference of the IEEE Engineering
in Medicine & Biology Society (EMBC), 2020 Hepatocellular carcinoma (HCC) is the most common type of primary liver cancer and the fourth most common cause of cancer-related death worldwide. Understanding the underlying gene mutations in HCC provides great prognostic value for treatment planning and targeted therapy. Radiogenomics has revealed an association between non-invasive imaging features
arxiv +1 more source
The role of Micro-RNAs in Hepatocellular Carcinoma: From Molecular Biology to Treatment [PDF]
, 2014 Hepatocellular carcinoma (HCC) is the fifth most common cancer worldwide and the third leading cause of cancer deaths. microRNAs (miRNAs) are evolutionary conserved small non-coding RNA that negatively regulate gene expression and protein translation ...
Bianconi Maristella +7 more
core +1 more source
Physics-based tissue simulator to model multicellular systems: A study of liver regeneration and hepatocellular carcinoma recurrence [PDF]
arXiv, 2022 We present a multiagent-based model that captures the interactions between different types of cells with their microenvironment, and enables the analysis of the emergent global behavior during tissue regeneration and tumor development. Using this model, we are able to reproduce the temporal dynamics of regular healthy cells and cancer cells, as well as
arxiv
Prevention of hepatocellular carcinoma [PDF]
Annals of Hepatology, 2005 Because of its frequency and grave prognosis, preventing hepatocellular carcinoma is an urgent priority. Prevention should be possible because environmental carcinogens-chronic hepatitis B and C virus infections, dietary exposure to aflatoxins, and iron overload-cause the great majority of these tumors.
openaire +9 more sources
Technology in Cancer Research & Treatment, 2020 Background: Cancer-testis genes can serve as prognostic biomarkers and valuable targets for immunotherapy in multiple tumors because of their restricted expression in testis and cancer.
Yan-Peng Zhang MD +8 more
doaj +1 more source
Hepatocellular carcinoma: Review of disease and tumor biomarkers. [PDF]
, 2016 © The Author(s) 2016.Hepatocellular carcinoma (HCC) is a common malignancy and now the second commonest global cause of cancer death. HCC tumorigenesis is relatively silent and patients experience late symptomatic presentation. As the option for curative
Cox, IJ +8 more
core +1 more source
Hepatocellular Carcinoma Segmentation from Digital Subtraction Angiography Videos using Learnable Temporal Difference [PDF]
arXiv, 2021 Automatic segmentation of hepatocellular carcinoma (HCC) in Digital Subtraction Angiography (DSA) videos can assist radiologists in efficient diagnosis of HCC and accurate evaluation of tumors in clinical practice. Few studies have investigated HCC segmentation from DSA videos.
arxiv