1.3k citations · 2k across the 59 of their papers we have counts for
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cs.CV2020★ 1 cited
Superpixel-Guided Label Softening for Medical Image Segmentation
Hang Li, Dong Wei, Shilei Cao +3
Segmentation of objects of interest is one of the central tasks in medical image analysis, which is indispensable for quantitative analysis. When developing machine-learning based…
cs.CV2020★ 5 cited
LT-Net: Label Transfer by Learning Reversible Voxel-wise Correspondence for One-shot Medical Image Segmentation
Shuxin Wang, Shilei Cao, Dong Wei +5
We introduce a one-shot segmentation method to alleviate the burden of manual annotation for medical images. The main idea is to treat one-shot segmentation as a classical atlas-ba…
cs.CV2020★ 33 cited
Robust Medical Instrument Segmentation Challenge 2019
Tobias Ross, Annika Reinke, Peter M. Full +47
Intraoperative tracking of laparoscopic instruments is often a prerequisite for computer and robotic-assisted interventions. While numerous methods for detecting, segmenting and tr…