Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET data.

Volume: 183, Pages: 504 - 521
Published: Aug 18, 2018
Abstract
A large number of papers have introduced novel machine learning and feature extraction methods for automatic classification of Alzheimer's disease (AD). However, while the vast majority of these works use the public dataset ADNI for evaluation, they are difficult to reproduce because different key components of the validation are often not readily available. These components include selected participants and input data, image preprocessing and...
Paper Details
Title
Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET data.
Published Date
Aug 18, 2018
Journal
Volume
183
Pages
504 - 521
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.