Is there a Convolutional Neural Network implementation for 3D images?
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I'm looking for an implementation matlab, in order to process 3D CT scan images. By 3D I mean 3 spatial dimensions (i.e. not 2D+channels or 2D+time). Any advice? preferrably an accelerated version (that used GPU or mex files) and an easy-to-use pre-trained network like Elektronn but for MATLAB..
another side question: does Caffe support 3D images? if so, how can it be used through MATLAB ?
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Erik
am 25 Okt. 2017
You can attempt to do a 3D CNN by the Tri-Planar approach from "Deep Feature Learning for Knee Cartilage Segmentation Using a Triplanar Convolutional Neural Network" by Prasoon et al. 2013 MICCAI. https://link.springer.com/chapter/10.1007/978-3-642-40763-5_31
Basically, instead of making a 3D window/patch around the region of interest, you use the three 2D planes. This is similar to how a radiologist will inspect the data.
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Joss Knight
am 16 Okt. 2017
There are many 3D image processing algorithms in MATLAB. However, there is currently no support for 3D volumetric data in the Deep Learning framework, other than by treating each slice as an independent image. You could try MatConvNet, or perhaps give us more information about what you are trying to do, since Neural Nets are not always the answer!
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Joss Knight
am 24 Okt. 2017
I'll admit I don't have a good answer to that, other than the same basic searches that you will be doing. I would still recommend MatConvNet for an immediate way to get hold of 3D image classification networks.
Muhammad
am 26 Okt. 2017
Hi, May be it can be helpful for you. https://www.mathworks.com/matlabcentral/fileexchange/58447-hagaygarty-mdcnn?s_tid=answers_rc2-1_p4_MLT
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Rahul Sharma
am 22 Dez. 2019
aNY IDEA WHICH PRETRAINED NETWORK I CAN USE FOR .NII nifti IMAGES in MATLAB
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