Medical-SAM-Adapter
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Adapting Segment Anything Model for Medical Image Segmentation
Hello, thanks for the pre-print and releasing the code. I am working on brain tumor segmentation with the BraTS dataset, which is semantic, as you know. I have two questions...
hello sir when BraTs dataloaders?
Thanks for your open-source work. I try to reproduce the BTCV performance based on your code, `python train.py -net sam -mod sam_adpt -exp_name msa-3d-sam-btcv -sam_ckpt ./checkpoint/sam/sam_vit_b_01ec64.pth -image_size 192 -b 8...
Hello, I encountered some issues while exporting MSA to onnx. I used MSA to train the REFUGE dataset and set multiask_output to 2 as required, successfully saving checkpoint best. pth....
I'm seeking clarity on utilizing the code during inference for testing a fine-tuned model on a dataset without target masks. Is there any guidance provided in the associated paper or...
I‘d like to know the GPU memory cost when setting the '-chunk' to 96 (the 3D depth) and batch size=1. Thanks!
hello i want to know How to use multi GPU to train the model? please feedback me thank u
I'm looking for information on where in the codebase the iterative click sampling and the utilization of bounding boxes for prompting are implemented.
Hello, can you give an example on colab?