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cerr / CERR

Matlab/Octave based platform for Radiological Research.
https://cerr.github.io/CERR/
GNU Lesser General Public License v2.1
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Cardiac Substructures container request #552

Closed afg1 closed 2 years ago

afg1 commented 3 years ago

Sorry if this isn't the way I'm meant to request access to the containers, but the request submission link sent me here.

I'd like to use the cardiac substructure autosegmentation container in our data at Manchester. We've got singularity installed on a linux machine, we can also handle pytorch if that is easier.

Thanks!

adityaapte commented 3 years ago

We will be happy to send the download link for singularity container. Can you please provide (1) Affiliation, (2) Intended use of the container, (3) Email address to send the Box download link.

afg1 commented 3 years ago

Hi, That's great, thanks!

Affiliation: The University of Manchester, UK Intended use: Evaluation of cardiac substructure dose in a large retrospective cohort of NSCLC patients Email address: andrew.green-2@manchester.ac.uk

Thanks again

bradyhunt commented 3 years ago

Hi @adityaapte,

I am interested in getting access to run your trained models in a Conda environment on windows. Here is my info:

Affiliation: Dartmouth College, Hanover, USA Intended use: Comparison of multiple auto-contouring approaches for cardiac substructure determination Email address: brady.hunt@dartmouth.edu

adityaapte commented 3 years ago

Provided access to Conda env. Please refer to the following for usage: https://github.com/cerr/CERR/wiki/Starting-DL-Segmentation-from-planC

On Thu, May 20, 2021 at 9:07 AM Brady Hunt @.***> wrote:

Hi @adityaapte https://github.com/adityaapte,

I am interested in getting access to run your trained models in a Conda environment on windows. Here is my info:

Affiliation: Dartmouth College, Hanover, USA Intended use: Comparison of multiple auto-contouring approaches for cardiac substructure determination Email address: @.***

— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub https://github.com/cerr/CERR/issues/552#issuecomment-845103650, or unsubscribe https://github.com/notifications/unsubscribe-auth/AAGNJB3QQL3SNROHELSCGPLTOUCSNANCNFSM4UQKM7LA .