Artificial intelligence: a review of current applications in hepatocellular carcinoma imaging

A Pellat, M Barat, R Coriat, P Soyer, A Dohan - … and Interventional Imaging, 2023 - Elsevier
Hepatocellular carcinoma (HCC) is the most common type of primary liver cancer and
currently the third-leading cause of cancer-related death worldwide. Recently, artificial …

Advancements in the diagnosis of hepatocellular carcinoma

NS Parra, HM Ross, A Khan, M Wu, R Goldberg… - International Journal of …, 2023 - mdpi.com
Hepatocellular carcinoma (HCC) is the most common primary liver malignancy, with
increasing global incidence. Morbidity and mortality associated with HCC remains high, and …

Deep learning techniques in liver tumour diagnosis using CT and MR imaging-A systematic review

B Lakshmipriya, B Pottakkat, G Ramkumar - Artificial Intelligence in …, 2023 - Elsevier
Deep learning has become a thriving force in the computer aided diagnosis of liver cancer,
as it solves extremely complicated challenges with high accuracy over time and facilitates …

MVI-mind: a novel deep-learning strategy using computed tomography (CT)-based radiomics for end-to-end high efficiency prediction of microvascular invasion in …

L Wang, M Wu, R Li, X Xu, C Zhu, X Feng - Cancers, 2022 - mdpi.com
Simple Summary Microvascular invasion is an important indicator for reflecting the
prognosis of hepatocellular carcinoma, but the traditional diagnosis requires a postoperative …

IVIM using convolutional neural networks predicts microvascular invasion in HCC

B Liu, Q Zeng, J Huang, J Zhang, Z Zheng, Y Liao… - European …, 2022 - Springer
Objectives The study aimed to investigate the diagnostic performance of intravoxel
incoherent motion (IVIM) diffusion-weighted magnetic resonance imaging for prediction of …

[HTML][HTML] Deep learning in hepatocellular carcinoma: Current status and future perspectives

JC Ahn, TA Qureshi, AG Singal, D Li… - World journal of …, 2021 - ncbi.nlm.nih.gov
Hepatocellular carcinoma (HCC) is among the leading causes of cancer incidence and
death. Despite decades of research and development of new treatment options, the overall …

The role of radiomics and AI technologies in the segmentation, detection, and management of hepatocellular carcinoma

D Fahmy, A Alksas, A Elnakib, A Mahmoud, H Kandil… - Cancers, 2022 - mdpi.com
Simple Summary As a primary hepatic tumor, hepatocellular carcinoma (HCC) is the most
prevalent kind. Recent developments in magnetic resonance imaging (MRI) and computed …

[HTML][HTML] Radiomics in hepatocellular carcinoma: A state-of-the-art review

S Yao, Z Ye, Y Wei, HY Jiang… - World Journal of …, 2021 - ncbi.nlm.nih.gov
Hepatocellular carcinoma (HCC) is the most common cancer and the second major
contributor to cancer-related mortality. Radiomics, a burgeoning technology that can provide …

Towards interpretable imaging genomics analysis: Methodological developments and applications

X Cen, W Dong, W Lv, Y Zhao, F Dubee, AFA Mentis… - Information …, 2023 - Elsevier
Identifying the relationship between imaging features and genetic variation (a term coined
“imaging genomics”) offers valuable insight into the pathogenesis of cancer, as well as …

Diagnostic accuracy of artificial intelligence based on imaging data for preoperative prediction of microvascular invasion in hepatocellular carcinoma: a systematic …

J Zhang, S Huang, Y Xu, J Wu - Frontiers in oncology, 2022 - frontiersin.org
Background The presence of microvascular invasion (MVI) is considered an independent
prognostic factor associated with early recurrence and poor survival in hepatocellular …