CUDA DNN based CNN for medical image segmentation
Budget: $10 – $1,000 USD
I would like to convert an existing tensorflow model into cudnn.
We are currently utilizing a Keras/TF implementation of VNet (convolutional neural network) for medical image segmentation.
The system performs well, but does not integrate elegantly into our existing image processing pipeline which is C/Cuda based.
We basically need someone to write a simple 3D CNN utilizing cudnn which contains up and down convolution layers.
A sample V-Net tensorflow implementation can be found at the link listed below. Ours is similar in overall structure to the public model linked here.
https://github.com/MiguelMonteiro/VNet-Tensorflow
We are open to negotiation on price. Fixed price is preferred.
There are opportunities for continued collaboration if this project goes well.
Please let us know if cudnn is not one of your core competencies or if you feel this project is outside the scope of your desired work.
We are currently utilizing a Keras/TF implementation of VNet (convolutional neural network) for medical image segmentation.
The system performs well, but does not integrate elegantly into our existing image processing pipeline which is C/Cuda based.
We basically need someone to write a simple 3D CNN utilizing cudnn which contains up and down convolution layers.
A sample V-Net tensorflow implementation can be found at the link listed below. Ours is similar in overall structure to the public model linked here.
https://github.com/MiguelMonteiro/VNet-Tensorflow
We are open to negotiation on price. Fixed price is preferred.
There are opportunities for continued collaboration if this project goes well.
Please let us know if cudnn is not one of your core competencies or if you feel this project is outside the scope of your desired work.