/PETMR_Workshop_DL_Bootcamp

Repository for a deep learning bootcamp hosted at the October 2019 SNMMI-ISMRM PET/MR Workshop

Primary LanguageJupyter Notebook

PETMR_Workshop_DL_Bootcamp

Overview

This git repository was used for a small Deep Learning Bootcamp that occured on 10/26/2019 at the SNMMI-ISMRM PET/MR Workshop in New York City (https://petmr2019.snmmi.org). This is based on a bootcamp run at the University of Wisconsin (https://github.com/kmjohnson3/ML4MI_BootCamp)

1. Getting access to the data

Pre-requisite: A Google Acccount.

  1. Please complete the brief survey here: https://forms.gle/RjeWW82m1YgcdpF86. If you are doing this after October 26th, 2019, you may need to email Alan to request access.
  2. You will be invited to the shared data: PETMR_WORKSHOP_DL_BOOTCAMP_DATA
  3. Next, add this to your Google Drive by following these steps:
    1. Go to https://drive.google.com
    2. On the left, click Shared with me
    3. Click the folder PETMR_WORKSHOP_DL_BOOTCAMP_DATA
    4. In the top right, click Add to My Drive
    5. Now you are ready!

2. Running the bootcamp exercises

This bootcamp will go through two simple hands-on examples to develop a classification model and an image segmentation model. Simply click on the links below to open the notebooks in Google CoLab. For more information about CoLab, go here.

  1. Exercise 1 MRI Sequence Type Detection:

  2. Exercise 2 CT Lung Segmentation:

3. Questions?

Please ask Alan if you have any questions or comments: abmcmillan@wisc.edu