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Questions about training the model #2
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Hi, SillenceHu We are currently in the process of tidying up our training code and will publish it when it's ready. Meanwhile, our existing model is fully functional and capable of localizing any position in 3D CT scans, so you are welcome to use it as is. |
同求! |
Looking forward to the release of the training code |
Looking forward to your release of training code. |
Thank you for your interest in our work. We're currently in the process of finalizing our article for submission. We plan to release the training code within the next month. However, we will be updating the inference code sooner to ensure faster localization and more accurate segmentation results. As for MRI data, collecting it is indeed challenging. We're actively gathering data in an effort to train MedLSAM-V2, aiming for cross-modality arbitrary localization capabilities. |
Hi Is there any chance that the work is adoptable to 3D microscopic images? |
Sorry for my lack of expertise in 3D microscopic images. Our work, MedLSAM, is successful on 3D medical data based on two assumptions:
If your 3D microscopic images also meet either of the above assumptions, I believe it may be adoptable. However, further adjustments and experiments would be required to confirm its applicability. |
@LWHYC is the code for training available? |
Hi, |
Hi, |
Hi, |
Hi, |
Hi, |
Can you provide the code for training the model
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