T-AutoML: Automated Machine Learning for Lesion Segmentation using
Transformers in 3D Medical Imaging
Dong Yang Andriy Myronenko Xiaosong Wang Ziyue Xu Holger R. Roth Daguang Xu
NVIDIA
Abstract
Lesion segmentation in medical imaging has been an im-
portant topic in clinical research. Researchers have pro-
posed various detection and segmentation algorithms to ad-
dress this task. Recently, deep learning-based approaches ...


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