[R] Image Classification in R
gunter.berton at gene.com
Mon Oct 14 22:48:09 CEST 2013
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On Mon, Oct 14, 2013 at 1:23 PM, Lorenzo Isella
<lorenzo.isella at gmail.com> wrote:
> Dear All,
> For a project I am given a set of images. They represent either healthy or
> tumoral tissue, but the specific nature of the images does not matter.
> I need to train a classifier which is expected to tell me in which category
> (let's call it 0 vs 1) each image falls.
> I am thinking about a random forest classifier, but I am uncertain about a
> couple of (fairly important) points
> (1) The size of the images varies, so for instance the number of pixels is
> not the same for every image and as a consequence some methodologies (e.g.
> the PCA) when applied to these images will lead to results not immediately
> comparable. Is trying to blur/flatten the images a good idea to have always
> (artificially) the same size (number of pixels) for every image?
> (2) Which features do you recommend to associate\calculate for every image?
> This is what I will use to train my model upon.
> Any suggestion is welcome.
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> and provide commented, minimal, self-contained, reproducible code.
Genentech Nonclinical Biostatistics
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