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This is an official repo for fine-tuning SAM to customized medical images.

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![image](https://github.com/mazurowski-lab/finetune-SAM/assets/143151549/1a7356c8-01a8-4da8-8063-ed8d2e6665ee) ![image](https://github.com/mazurowski-lab/finetune-SAM/assets/143151549/ef1020fd-ffe7-4a30-bfa0-c9487349c3fd) Previously, I used the code from the Medical-SAM-Adapter project (https://github.com/KidsWithTokens/Medical-SAM-Adapter) to perform multi-organ segmentation on the Synapse dataset, achieving an average Dice accuracy of 89%. However, after adjusting...

Hi, I want to fine-tune the SAM mask decoder to only a single labeled dataset unsing supervised training (i.e., Setup 1 in your paper). Since I have no experience in...

Is there code for self-supervised training? If not, can you provide reference code?

How to prepare a dataset for multi-cls segmentation? Thank you!

I am getting the following error when I try to run train_singlegpu_demo.sh File "/home/mayank/Projects/finetune-SAM/SingleGPU_train_finetune_noprompt.py", line 212, in train_model(trainloader,valloader,args.dir_checkpoint,args.epochs) File "/home/mayank/Projects/finetune-SAM/SingleGPU_train_finetune_noprompt.py", line 51, in train_model sam = sam_model_registry[args.arch](args,checkpoint=os.path.join(args.sam_ckpt),num_classes=args.num_cls) File "/home/mayank/Projects/finetune-SAM/models/sam/build_sam.py", line...

when i use ddp_splitgpu_train_finetune_noprompt.py , the error raised, “all tensors to be on the same device,but found at least two devices,cuda:1 and cuda:0, how can i solve it.

Thank you for your excellent work on the paper. I encountered a CUDA out-of-memory error with a batch size of 2 on an A100 GPU. I noticed in Table 3...