output
20182025
most citedAnnotation-efficient deep learning for automatic medical image segmentation

313 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2020Show all

2 papers · 1 filter

eess.IV2020★ 313 cited

Annotation-efficient deep learning for automatic medical image segmentation

Shanshan Wang, Cheng Li, Rongpin Wang +12

Automatic medical image segmentation plays a critical role in scientific research and medical care. Existing high-performance deep learning methods typically rely on large training…

eess.IV2020

Multi-Cycle-Consistent Adversarial Networks for CT Image Denoising

Jinglan Liu, Yukun Ding, Jinjun Xiong +6

CT image denoising can be treated as an image-to-image translation task where the goal is to learn the transform between a source domain (noisy images) and a target domain …