Finding hyperintensities in the brain using unsupervised feature learning
نویسنده
چکیده
In this thesis we try to find out if unsupervised feature learning can be used to find white matter lesions in brain-MRI scans. Results show that unsupervised feature learning algorithm performs similar to classification using regular features. In some cases it performs even better. Downside is that unsupervised feature learning is computationally more expensive.
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تاریخ انتشار 2015