31 citations · 31 across the 2 of their papers we have counts for
3 papers
cs.CV2021
Network-Agnostic Knowledge Transfer for Medical Image Segmentation
Shuhang Wang, Vivek Kumar Singh, Alex Benjamin +5
Conventional transfer learning leverages weights of pre-trained networks, but mandates the need for similar neural architectures. Alternatively, knowledge distillation can transfer…
eess.IV2020★ 31 cited
U-Net Using Stacked Dilated Convolutions for Medical Image Segmentation
Shuhang Wang, Szu-Yeu Hu, Eugene Cheah +10
This paper proposes a novel U-Net variant using stacked dilated convolutions for medical image segmentation (SDU-Net). SDU-Net adopts the architecture of vanilla U-Net with modific…
eess.IV2020
Weakly Supervised Context Encoder using DICOM metadata in Ultrasound Imaging
Szu-Yeu Hu, Shuhang Wang, Wei-Hung Weng +6
Modern deep learning algorithms geared towards clinical adaption rely on a significant amount of high fidelity labeled data. Low-resource settings pose challenges like acquiring hi…