Iterative cerebellar segmentation using convolutional neural networks

Iterative cerebellar segmentation using convolutional neural networks

Convolutional neural networks (ConvNets) have quickly become the most widely used tool for image perception and interpretation tasks over the past several years. The single most important resource needed for training a ConvNet that will successfully generalize to unseen examples is an adequately siz...

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Bibliographic Details
Main Author: Gerard, Alex Michael
Other Authors: Johnson, Hans J.
Format: Others
Language:English
Published: University of Iowa 2018
Subjects:
CONVOLUTIONAL NEURAL NETWORKS
Deep Learning
Image Processing
Image Segmentation
Machine Learning
NEURAL NETWORKS
Electrical and Computer Engineering
Online Access:https://ir.uiowa.edu/etd/6579
https://ir.uiowa.edu/cgi/viewcontent.cgi?article=8078&context=etd

Internet

https://ir.uiowa.edu/etd/6579
https://ir.uiowa.edu/cgi/viewcontent.cgi?article=8078&context=etd

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