publication . Article . Other literature type . 2015

Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: The CADDementia challenge

Simon Eskildsen; Nicola Amoroso; Alessia Sarica; António J. Bastos-Leite; Christian Ledig; Vladimir Fonov; Roberto Bellotti; Sabina Tangaro; Carolina Garrett; Wiesje van der Flier; ...
Open Access
  • Published: 01 May 2015
International audience; Algorithms for computer-aided diagnosis of dementia based on structural MRI have demonstrated high performance in the literature, but are difficult to compare as different data sets and methodology were used for evaluation. In addition, it is unclear how the algorithms would perform on previously unseen data, and thus, how they would perform in clinical practice when there is no real opportunity to adapt the algorithm to the data at hand. To address these comparability, generalizability and clinical applicability issues, we organized a grand challenge that aimed to objectively compare algorithms based on a clinically representative multi-...
free text keywords: Mild cognitive impairment, Computer-aided diagnosis, Classification, Alzheimer's disease, Challenge, Structural MRI, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Article, Science & Technology, Life Sciences & Biomedicine, Neurosciences, Neuroimaging, Radiology, Nuclear Medicine & Medical Imaging, Neurosciences & Neurology, DIMENSIONAL PATTERN-CLASSIFICATION, ALZHEIMERS ASSOCIATION WORKGROUPS, NATIONAL INSTITUTE, BRAIN ATROPHY, MCI PATIENTS, DISEASE, BIOMARKERS, AD, RECOMMENDATIONS, Aged, Aged, 80 and over, Algorithms, Alzheimer Disease, Diagnosis, Computer-Assisted, Female, Humans, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Male, Middle Aged, Sensitivity and Specificity, Alzheimer's Disease Neuroimaging Initiative, Neurology & Neurosurgery, 11 Medical And Health Sciences, 17 Psychology And Cognitive Sciences, Cognitive Neuroscience, Neurology
Funded by
NIH| Alzheimers Disease Neuroimaging Initiative
  • Funder: National Institutes of Health (NIH)
  • Project Code: 1U01AG024904-01
  • Funder: Canadian Institutes of Health Research (CIHR)
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