Universeg: Universal medical image segmentation
While deep learning models have become the predominant method for medical image
segmentation, they are typically not capable of generalizing to unseen segmentation tasks …
segmentation, they are typically not capable of generalizing to unseen segmentation tasks …
UniverSeg: Universal Medical Image Segmentation
VI Butoi, JJG Ortiz, T Ma, MR Sabuncu… - 2023 IEEE/CVF …, 2023 - computer.org
While deep learning models have become the predominant method for medical image
segmentation, they are typically not capable of generalizing to unseen segmentation tasks …
segmentation, they are typically not capable of generalizing to unseen segmentation tasks …
UniverSeg: Universal Medical Image Segmentation
VI Butoi, JJG Ortiz, T Ma, MR Sabuncu… - 2023 IEEE/CVF …, 2023 - ieeexplore.ieee.org
While deep learning models have become the predominant method for medical image
segmentation, they are typically not capable of generalizing to unseen segmentation tasks …
segmentation, they are typically not capable of generalizing to unseen segmentation tasks …
[PDF][PDF] UniverSeg: Universal Medical Image Segmentation
VI Butoi, JJG Ortiz, T Ma, J Guttag, MR Sabuncu… - cse.cuhk.edu.hk
While deep learning models are widely used in medical image segmentation, they are
typically not designed to generalize to unseen segmentation tasks involving new anatomies …
typically not designed to generalize to unseen segmentation tasks involving new anatomies …
UniverSeg: Universal Medical Image Segmentation
VI Butoi, JJG Ortiz, T Ma, MR Sabuncu, J Guttag… - arXiv preprint arXiv …, 2023 - arxiv.org
While deep learning models have become the predominant method for medical image
segmentation, they are typically not capable of generalizing to unseen segmentation tasks …
segmentation, they are typically not capable of generalizing to unseen segmentation tasks …
[PDF][PDF] UniverSeg: Universal Medical Image Segmentation
VI Butoi, JJG Ortiz, T Ma, MR Sabuncu, J Guttag… - openreview.net
While deep learning models have become the predominant method for medical image
segmentation, they are typically not capable of generalizing to unseen segmentation tasks …
segmentation, they are typically not capable of generalizing to unseen segmentation tasks …