no code implementations • 7 Apr 2020 • Shuhang Wang, Szu-Yeu Hu, Eugene Cheah, XiaoHong Wang, JingChao Wang, Lei Chen, Masoud Baikpour, Arinc Ozturk, Qian Li, Shinn-Huey Chou, Constance D. Lehman, Viksit Kumar, Anthony Samir
This paper proposes a novel U-Net variant using stacked dilated convolutions for medical image segmentation (SDU-Net).
Modern deep learning algorithms geared towards clinical adaption rely on a significant amount of high fidelity labeled data.
Stereotactic radiosurgery (SRS), which delivers high doses of irradiation in a single or few shots to small targets, has been a standard of care for brain metastases.
no code implementations • 6 Nov 2018 • Szu-Yeu Hu, Andrew Beers, Ken Chang, Kathi Höbel, J. Peter Campbell, Deniz Erdogumus, Stratis Ioannidis, Jennifer Dy, Michael F. Chiang, Jayashree Kalpathy-Cramer, James M. Brown
In this paper, we propose a new pre-training scheme for U-net based image segmentation.