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DIAL-RPI / SCO-SSL

A python (PyTorch) implementation of Shadow-consistent Semi-supervised Learning (SCO-SSL) method for prostate ultrasound segmentation
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can't access the UCLA dataset #2

Open ant1dote opened 1 year ago

ant1dote commented 1 year ago

Hi, I'm very interested in your work. And I'm trying to access the UCLA used in this research following the instructions of TCIA website. After many attempts, the NBIA retriever reminds the time-out error all the time. So, could you share the UCLA dataset with me (research purpose only) via other path (Google drive). Thank you!

superxuang commented 1 year ago

Sorry about the late response. The UCLA dataset is too large (78GBytes) to hold in my GoogleDrive. Could you try to update the NBIA retriever to the latest version? Because I just tried to download the UCLA dataset and found it works well. Please let me know if the problem is still there. Feel free to drop me an email (xux12@rpi.edu) for a quick response.