2 citations · 2 across the 2 of their papers we have counts for
2 papers
eess.IV2023
Med-DANet V2: A Flexible Dynamic Architecture for Efficient Medical Volumetric Segmentation
Haoran Shen, Yifu Zhang, Wenxuan Wang +4
Recent works have shown that the computational efficiency of 3D medical image (e.g. CT and MRI) segmentation can be impressively improved by dynamic inference based on slice-wise c…
cs.CV2023★ 2 cited
Med-Tuning: A New Parameter-Efficient Tuning Framework for Medical Volumetric Segmentation
Jiachen Shen, Wenxuan Wang, Chen Chen +5
The "pre-training then fine-tuning (FT)" paradigm is widely adopted to boost the model performance of deep learning-based methods for medical volumetric segmentation. However, conv…