Submitted by Hulord t3_y4u0zl in MachineLearning
Hello everyone,
I am currently starting to do research on using contrastive learning for medical image segmentation. From all the papers I have read, I am trying to use SimCLR as pretraining for image segmentation, since I am dealing with medical images I will use the Unet for the downstream task.
My question is how do I use the SimCLR as pretraining and is there any good code baseline for this?
fastglow t1_isg4w7v wrote
How about this: https://github.com/bayer-science-for-a-better-life/contrastive-reconstruction