Quantification of liver fat content with CT and MRI: state of the art

J Starekova, D Hernando, PJ Pickhardt, SB Reeder - Radiology, 2021 - pubs.rsna.org
Hepatic steatosis is defined as pathologically elevated liver fat content and has many
underlying causes. Nonalcoholic fatty liver disease (NAFLD) is the most common chronic …

[HTML][HTML] Radiomics and deep learning: hepatic applications

HJ Park, B Park, SS Lee - Korean journal of radiology, 2020 - synapse.koreamed.org
Radiomics and deep learning have recently gained attention in the imaging assessment of
various liver diseases. Recent research has demonstrated the potential utility of radiomics …

[HTML][HTML] Deep learning algorithm for automated segmentation and volume measurement of the liver and spleen using portal venous phase computed tomography …

Y Ahn, JS Yoon, SS Lee, HI Suk, JH Son… - Korean journal of …, 2020 - ncbi.nlm.nih.gov
Objective Measurement of the liver and spleen volumes has clinical implications. Although
computed tomography (CT) volumetry is considered to be the most reliable noninvasive …

Performance and clinical applicability of machine learning in liver computed tomography imaging: a systematic review

K Radiya, HL Joakimsen, KØ Mikalsen, EK Aahlin… - European …, 2023 - Springer
Objectives Machine learning (ML) for medical imaging is emerging for several organs and
image modalities. Our objectives were to provide clinicians with an overview of this field by …

Applications of artificial intelligence (AI) in researches on non-alcoholic fatty liver disease (NAFLD): A systematic review

Y Li, X Wang, J Zhang, S Zhang, J Jiao - Reviews in Endocrine and …, 2022 - Springer
Non-alcoholic fatty liver disease (NAFLD) is one of the most important causes of chronic liver
disease in the world, it has been found that cardiovascular and renal risks and diseases are …

RSU-Net: U-net based on residual and self-attention mechanism in the segmentation of cardiac magnetic resonance images

YZ Li, Y Wang, YH Huang, P Xiang, WX Liu… - Computer Methods and …, 2023 - Elsevier
Background Automated segmentation techniques for cardiac magnetic resonance imaging
(MRI) are beneficial for evaluating cardiac functional parameters in clinical diagnosis …

Artificial Intelligence in Liver Diseases: Recent Advances

F Lu, Y Meng, X Song, X Li, Z Liu, C Gu, X Zheng… - Advances in …, 2024 - Springer
Liver diseases cause a significant burden on public health worldwide. In spite of great
advances during recent years, there are still many challenges in the diagnosis and treatment …

Non-alcoholic fatty liver disease: implementing complete automated diagnosis and staging. a systematic review

SL Popa, A Ismaiel, P Cristina, M Cristina, G Chiarioni… - Diagnostics, 2021 - mdpi.com
Background: Non-alcoholic fatty liver disease (NAFLD) is a fast-growing pathology around
the world, being considered the most common chronic liver disease. It is diagnosed based …

The application of artificial intelligence in hepatology: A systematic review

C Balsano, A Alisi, MR Brunetto, P Invernizzi… - Digestive and Liver …, 2022 - Elsevier
The integration of human and artificial intelligence (AI) in medicine has only recently begun
but it has already become obvious that intelligent systems can dramatically improve the …

Population-based and personalized reference intervals for liver and spleen volumes in healthy individuals and those with viral hepatitis

DW Kim, J Ha, SS Lee, JH Kwon, NY Kim, YS Sung… - Radiology, 2021 - pubs.rsna.org
Background Reference intervals guiding volumetric assessment of the liver and spleen have
yet to be established. Purpose To establish population-based and personalized reference …