Abstract: In the field of medical image processing, vascular image segmentation plays a crucial role in clinical diagnosis, treatment planning, prognosis, and medical decision-making. Accurate and ...
The dataset wrapper is from DOFA repo. We successfully reproduce close mIoU to the paper report on three segmentation tasks (m-NeonTree, m-nz-cattle, m-pv4ger-seg) out of six in GeoBench. I am still ...
Thank you for your interest. We now added segmentation training code along with the config that reproduces the paper number on ADE20k with our ViT-7B. We also added code that allows to make inference ...
Abstract: The success of deep learning in 3D medical image segmentation hinges on training with a large dataset of fully annotated 3D volumes, which are difficult and time-consuming to acquire.
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