Deep Learning vs. Conventional Machine Learning: Pilot Study of WMH Segmentation in Brain MRI with Absence or Mild Vascular Pathology

Deep Learning vs. Conventional Machine Learning: Pilot Study of WMH Segmentation in Brain MRI with Absence or Mild Vascular Pathology

In the wake of the use of deep learning algorithms in medical image analysis, we compared performance of deep learning algorithms, namely the deep Boltzmann machine (DBM), convolutional encoder network (CEN) and patch-wise convolutional neural network (patch-CNN), with two conventional machine learn...

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Bibliographic Details
Main Authors: Muhammad Febrian Rachmadi, Maria del C. Valdés-Hernández, Maria Leonora Fatimah Agan, Taku Komura
Format: Article
Language:English
Published: MDPI AG 2017-12-01
Series:Journal of Imaging
Subjects:
Alzheimer’s Disease
brain MRI
conventional machine learning
deep learning
dementia
white matter hyperintensities
segmentation
machine learning
medical image analysis
Online Access:https://www.mdpi.com/2313-433X/3/4/66

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https://www.mdpi.com/2313-433X/3/4/66

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