Deep Learning on Conventional Magnetic Resonance Imaging Improves the Diagnosis of Multiple Sclerosis Mimics-Reference-Cited by-同舟云学术

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Deep Learning on Conventional Magnetic Resonance Imaging Improves the Diagnosis of Multiple Sclerosis Mimics

Published:2020-10-27 Issue:4 Volume:56 Page:252-260
ISSN:1536-0210
Container-title:Investigative Radiology
language:en
Short-container-title:Invest Radiol

Author:

Rocca Maria A.,Anzalone Nicoletta,Storelli Loredana,Del Poggio Anna,Cacciaguerra Laura,Manfredi Angelo A.,Meani Alessandro,Filippi Massimo

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Reference40 articles.

1. Diagnosis of multiple sclerosis: 2017 revisions of the McDonald criteria;Lancet Neurol,2018

2. Application of the 2017 revised McDonald criteria for multiple sclerosis to patients with a typical clinically isolated syndrome;JAMA Neurol,2018

3. Application of the 2017 McDonald diagnostic criteria for multiple sclerosis in Korean patients with clinically isolated syndrome;Mult Scler,2019

4. Incidence of multiple sclerosis misdiagnosis in referrals to two academic centers;Mult Scler Relat Disord,2019

5. The contemporary spectrum of multiple sclerosis misdiagnosis: a multicenter study;Neurology,2016

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4. Artificial intelligence applied to MRI data to tackle key challenges in multiple sclerosis;Multiple Sclerosis Journal;2024-05-13

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