Convolutional Neural Net Learning Can Achieve Production-Level Brain Segmentation in Structural Magnetic Resonance Imaging

Convolutional Neural Net Learning Can Achieve Production-Level Brain Segmentation in Structural Magnetic Resonance Imaging

Deep learning implementations using convolutional neural nets have recently demonstrated promise in many areas of medical imaging. In this article we lay out the methods by which we have achieved consistently high quality, high throughput computation of intra-cranial segmentation from whole head mag...

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Bibliographic Details
Main Authors: Evan Fletcher, Charles DeCarli, Audrey P. Fan, Alexander Knaack
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-06-01
Series:Frontiers in Neuroscience
Subjects:
magnetic resonance imaging
brain segmentation
deep learning
convolutional neural network
medical image processing
medical imaging data ground truth
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2021.683426/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2021.683426/full

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