Wilson disease tissue classification and characterization using seven artificial intelligence models embedded with 3D optimization paradigm on a weak training brain magnetic resonance imaging datasets: a supercomputer application-Reference-Cited by-同舟云学术

Wilson disease tissue classification and characterization using seven artificial intelligence models embedded with 3D optimization paradigm on a weak training brain magnetic resonance imaging datasets: a supercomputer application

Published:2021-02-05 Issue:3 Volume:59 Page:511-533
ISSN:0140-0118
Container-title:Medical & Biological Engineering & Computing
language:en
Short-container-title:Med Biol Eng Comput

Author:

Agarwal Mohit,Saba Luca,Gupta Suneet K.,Johri Amer M.,Khanna Narendra N.,Mavrogeni Sophie,Laird John R.,Pareek Gyan,Miner Martin,Sfikakis Petros P.,Protogerou Athanasios,Sharma Aditya M.,Viswanathan Vijay,Kitas George D.,Nicolaides Andrew,Suri Jasjit S.

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Biomedical Engineering

Link

http://link.springer.com/content/pdf/10.1007/s11517-021-02322-0.pdf

Reference86 articles.

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3. Rosencrantz R and Schilsky M (2011) “Wilson disease: pathogenesis and clinical considerations in diagnosis and treatment,” in Seminars in liver disease 31(03):245–259. © Thieme Medical Publishers, pp.

4. Roberts EA, Schilsky ML (2003) A practice guideline on Wilson disease. Hepatology 37(6):1475–1492

5. Singh P, Ahluwalia A, Saggar K, Grewal CS (2011) Wilson’s disease: Mri features. J Pediatr Neurosci 6(1):27

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