MRI image classification for disease diagnosis
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I am working on MRI images for image classification. My aim is Feature extraction and then classifier. Any ideas that I could use behind these steps?
I have done like (i) Segmentation and extracted the segmented voxels. Now the segmented voxels are of different sizes for each image. So no idea how to input this to a classifier? tried with mean and other statistics features. accuracy is less.
(ii)planning to take the histogram of the segmented region. But the voxels are in int16 format and if I change to uint8 format is it meaningful?
Thanks for all your help!
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Image Analyst
am 5 Feb. 2016
"So no idea how to input this to a classifier? " <== You pass them in through an input argument list of a function.
If you change from uint16 to uint8 you will lose intensity resolution. I would not do that unless you are really low on memory.
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