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This repository was archived by the owner on Jan 7, 2025. It is now read-only.
This repository was archived by the owner on Jan 7, 2025. It is now read-only.

Best way to approach building a pixel classifier #177

@OliverColeman

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@OliverColeman

I'm currently using Caffe to build a pixel classifier (e.g. D. Ciresan et al - Mitosis Detection in Breast Cancer Histology Images using Deep Neural Networks, MICCAI 2013). I'm wondering what the best approach would be to set-up a pixel classifier in DIGITS? Has anyone done this? (I couldn't find any examples).

I'm interested in using DIGITS as it seems to have a much nicer, faster work flow. I seem to spend an awful lot of time editing text files for Caffe (want to change a parameter? Then you have to update it over several different files, same for when your database size changes, or you want to use a different db, etc), which is becoming very cumbersome and error prone.

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