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Total 37864 results found since Jan 2013.

Diagnosis of focal liver lesions with deep learning-based multi-channel analysis of hepatocyte-specific contrast-enhanced magnetic resonance imaging
CONCLUSION: Both 2D and 3D-DenseNets can differentiate FNH, HCC and MET with good accuracy when trained on hepatocyte-specific contrast-enhanced multi-sequence MRI volumes.PMID:34629814 | PMC:PMC8475009 | DOI:10.3748/wjg.v27.i35.5978
Source: World Journal of Gastroenterology : WJG - October 11, 2021 Category: Gastroenterology Authors: R óbert Stollmayer Bettina K Budai Ambrus T óth Ildik ó Kalina Erika Hartmann P éter Szoldán Viktor B érczi P ál Maurovich-Horvat P ál N Kaposi Source Type: research

Feature selection from magnetic resonance imaging data in ALS: a systematic review
CONCLUSIONS: These insights are discussed with respect to their potential for MRI feature selection for future ML-based neuroimaging classifiers in ALS. The integration of multiparametric MRI including DTI, volumetric, and texture data using ML may be the best approach to generate a diagnostic neuroimaging tool for ALS.PMID:34729157 | PMC:PMC8521429 | DOI:10.1177/20406223211051002
Source: Adv Data - November 3, 2021 Category: Epidemiology Authors: Thomas D Kocar Hans-Peter M üller Albert C Ludolph Jan Kassubek Source Type: research

Anti-N-Methyl-D-Aspartate Receptor (NMDAR) Encephalitis in Children and Adolescents: A Systematic Review and Quantitative Analysis of Reported Cases
CONCLUSION: Given the pattern of findings, routinely obtaining MRI and EEG should be considered for anti-NMDAR encephalitis in children and adolescents presenting with delusion and waxing and waning of symptoms, respectively. Investigation of tumors should be considered in patients with anti-NMDAR encephalitis especially when psychosis is present.PMID:34777507 | PMC:PMC8561849
Source: Journal of the Canadian Academy of Child and Adolescent Psychiatry - November 15, 2021 Category: Psychiatry Authors: Yam R Giri Allison Parrill Sreedevi Damodar Joshua Fogel Nisrin Ayed Muhammad Syed Ijendu Korie Sivaranjani Ayyanar Christopher Typhair Seema Hashmi Source Type: research