4 open source projects by josedolz

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

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python deep-learning deep-neural-networks convolutional-neural-networks neural-networks cnn medical-imaging image-segmentation theano convolutional-networks deep-learning-algorithms neuroimaging

2. Hyperdensenet

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

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python deep-learning deep-neural-networks convolutional-neural-networks neural-networks cnn segmentation image-segmentation theano densenet deep-learning-algorithms fcn

3. HyperDenseNet pytorch

Pytorch version of the HyperDenseNet deep neural network for multi-modal image segmentation

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python deep-learning pytorch segmentation image-segmentation medical-image-processing 3d-convolutional-network 3d-cnn pytorch-cnn medical-image-segmentation hyperdensenet multi-modal-imaging multi-modal-learning

4. SemiDenseNet

Repository containing the code of one of the networks that we employed in the iSEG Grand MICCAI Challenge 2017, infant brain segmentation.

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python theano deep-learning cnn mri medical-imaging convolutional-networks convolutional-neural-networks nifti-format 3d medical-image-processing infant-brain-segmentation semidensenet

1-4 of 4 user projects