scholarly journals Characterization of Hepatic Lesions Using Grid Computing (Globus) and Neural Networks

10.5772/45622 ◽  
2012 ◽  
Author(s):  
Sheng Hung ◽  
Ean Teng
Keyword(s):  
Neural Networks ◽  
Grid Computing ◽  
Hepatic Lesions

scholarly journals Characterization of small (≤3 cm) hepatic lesions with atypical enhancement feature and hypointensity in hepatobiliary phase of gadoxetic acid-enhanced MRI in cirrhosis

Medicine ◽  
2017 ◽  
Vol 96 (29) ◽  
pp. e7278 ◽  
Author(s):  
Seung Kak Shin ◽  
Yun Soo Kim ◽  
Seung Joon Choi ◽  
Young Sup Shim ◽  
Dong Hae Jung ◽  
...  
Keyword(s):  
Gadoxetic Acid ◽  
Hepatobiliary Phase ◽  
Enhanced Mri ◽  
Hepatic Lesions

scholarly journals Characterization of III/V Semiconductors on Silicon by Analyzing 4D-STEM Data with Convolutional Neural Networks

2021 ◽  
Vol 27 (S1) ◽  
pp. 450-452
Author(s):  
Damien Heimes ◽  
Jonas Scheunert ◽  
Andreas Beyer ◽  
Jürgen Belz ◽  
Saleh Firoozabadi ◽  
...  
Keyword(s):  
Neural Networks ◽  
Convolutional Neural Networks

Role of MRI in Detecting and Characterizing Small Hepatic Focal Lesions

QJM ◽  
2021 ◽  
Vol 114 (Supplement_1) ◽  
Author(s):  
Rania Ali Maarouf ◽  
Ali Haggag Ali ◽  
Mahmoud Abdelatif Onsy
Keyword(s):  
Tumor Staging ◽  
Left Lobe ◽  
Diagnostic Process ◽  
Liver Imaging ◽  
Focal Lesions ◽  
Focal Hepatic Lesions ◽  
Malignant Lesions ◽  
Hepatic Lesions ◽  
The Right

Abstract Background Despite the recent advances in liver imaging, the detection and characterization of small hepatic focal lesions is still a real challenge. Particularly in cancer patients where the characterization of a small HFL as thus the precise tumor staging is critical for optimal treatment planning. Aim of the Work To explore the effectiveness, and hence the clinical utility, of MRI detection and characterization of small focal hepatic lesions either only discovered on MRI or as a further work up of CT/US-indeterminate lesions. Patients and Methods We reviewed our database for individuals who underwent liver MR imaging between March 2018 and March 2019 for the evaluation of small hepatic lesions that were discovered for the first time or had been previously visualized on routinely performed CT and had been considered indeterminate. Results The present study included 44 patients of which 26 were males (59.1%) and 18 were females (40.9%). The age range of the study group was 19 to 77 years. The mean age for Malignant lesions was 51 years. The right lobe of liver was involved in 23 cases (52.3%), left lobe in 5 cases (11.4%) and both lobes in 16 cases (36.4%). There were 30 (68.18%) benign, 13 (29.54%) malignant lesions and 1 (2.3%) indeterminate, hemangiomas were predominant in benign lesions whereas hepatocellular carcinomas were predominant in malignant lesions. N'TRI could characterize 92% cases. Conclusion The diagnostic process of small hepatic focal lesions, either detection or characterization or both, continues to represent a challenge. Contrast-enhanced MR can accurately detect and characterize majority of small hepatic focal lesions.

Observer error in the characterization of hepatic lesions in patients with neoplastic liver disease

1988 ◽  
Vol 16 (8) ◽  
pp. 577-579 ◽  
Author(s):  
Neill A Iscoe ◽  
John D McKee ◽  
Anna Marie Arenson ◽  
John P Szalai
Keyword(s):  
Liver Disease ◽  
Observer Error ◽  
Hepatic Lesions

Characterization of Small Incidental Indeterminate Hypoattenuating Hepatic Lesions: Added Value of Single-Phase Contrast-Enhanced Dual-Energy CT Material Attenuation Analysis

2018 ◽  
Vol 211 (3) ◽  
pp. 571-579 ◽  
Author(s):  
Bhavik N. Patel ◽  
Michael Rosenberg ◽  
Federica Vernuccio ◽  
Juan Carlos Ramirez-Giraldo ◽  
Rendon Nelson ◽  
...  
Keyword(s):  
Phase Contrast ◽  
Single Phase ◽  
Dual Energy ◽  
Added Value ◽  
Dual Energy Ct ◽  
Contrast Enhanced ◽  
Hepatic Lesions
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