[HTML][HTML] Abdominal Imaging in the Coming Decades: Better, Faster, Safer, and Cheaper?
PJ Pickhardt - Radiology, 2023 - pubs.rsna.org
worldwide reach. Thus, it is the imaging modality best suited to address the global health
issues related to hepatic steatosis and metabolic syndrome. Although MRI (and CT) are …
issues related to hepatic steatosis and metabolic syndrome. Although MRI (and CT) are …
[HTML][HTML] Advances in liver US, CT, and MRI: moving toward the future
F Vernuccio, R Cannella, TV Bartolotta, M Galia… - European Radiology …, 2021 - Springer
Over the past two decades, the epidemiology of chronic liver disease has changed with an
increase in the prevalence of nonalcoholic fatty liver disease in parallel to the advent of …
increase in the prevalence of nonalcoholic fatty liver disease in parallel to the advent of …
Artificial intelligence in liver imaging: methods and applications
Liver disease is regarded as one of the major health threats to humans. Radiographic
assessments hold promise in terms of addressing the current demands for precisely …
assessments hold promise in terms of addressing the current demands for precisely …
Imaging of the abdomen
Durch die innovative Ultraschalltechnologie wurde in den letzten Jahrzehnten die moderne
bildgebende Diagnostik revolutioniert. Nachteilig im Vergleich zu den anderen …
bildgebende Diagnostik revolutioniert. Nachteilig im Vergleich zu den anderen …
Abdominal imaging studies: comparison of diagnostic accuracies resulting from ultrasound, computed tomography, and magnetic resonance imaging in the same …
TC Noone, RC Semelka, DM Chaney… - Magnetic resonance …, 2004 - Elsevier
We retrospectively compared the diagnostic accuracy of abdominal ultrasound (US),
computed tomography (CT), and magnetic resonance imaging (MRI) studies performed on …
computed tomography (CT), and magnetic resonance imaging (MRI) studies performed on …
Radiomics and deep learning in liver diseases
YS Sung, B Park, HJ Park… - Journal of gastroenterology …, 2021 - Wiley Online Library
Recently, radiomics and deep learning have gained attention as methods for computerized
image analysis. Radiomics and deep learning can perform diagnostic or predictive tasks …
image analysis. Radiomics and deep learning can perform diagnostic or predictive tasks …
[HTML][HTML] Artificial intelligence in medical imaging of the liver
LQ Zhou, JY Wang, SY Yu, GG Wu, Q Wei… - World journal of …, 2019 - ncbi.nlm.nih.gov
Artificial intelligence (AI), particularly deep learning algorithms, is gaining extensive attention
for its excellent performance in image-recognition tasks. They can automatically make a …
for its excellent performance in image-recognition tasks. They can automatically make a …
[HTML][HTML] Contrast-enhanced ultrasonography: advance and current status in abdominal imaging
YE Chung, KW Kim - Ultrasonography, 2015 - ncbi.nlm.nih.gov
In the field of contrast-enhanced ultrasonography (US), contrast agents are classified as
either first-or second-generation agents depending on the gas within the microbubbles. In …
either first-or second-generation agents depending on the gas within the microbubbles. In …