36 citations · 55 across the 6 of their papers we have counts for
6 papers
Universal Segmentation of 33 Anatomies
Pengbo Liu, Yang Deng, Ce Wang +12
In the paper, we present an approach for learning a single model that universally segments 33 anatomical structures, including vertebrae, pelvic bones, and abdominal organs. Our mo…
CTSpine1K: A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed Tomography
Yang Deng, Ce Wang, Yuan Hui +12
Spine-related diseases have high morbidity and cause a huge burden of social cost. Spine imaging is an essential tool for noninvasively visualizing and assessing spinal pathology.…
Efforts estimation of doctors annotating medical image
Yang Deng, Yao Sun, Yongpei Zhu +8
Accurate annotation of medical image is the crucial step for image AI clinical application. However, annotating medical image will incur a great deal of annotation effort and expen…
A Multi-channel Network with Image Retrieval for Accurate Brain Tissue Segmentation
Yao Sun, Yang Deng, Yue Xu +3
Magnetic Resonance Imaging (MRI) is widely used in the pathological and functional studies of the brain, such as epilepsy, tumor diagnosis, etc. Automated accurate brain tissue seg…
A Strategy of MR Brain Tissue Images' Suggestive Annotation Based on Modified U-Net
Yang Deng, Yao Sun, Yongpei Zhu +3
Accurate segmentation of MR brain tissue is a crucial step for diagnosis,surgical planning, and treatment of brain abnormalities. However,it is a time-consuming task to be performe…
DASN:Data-Aware Skilled Network for Accurate MR Brain Tissue Segmentation
Yang Deng, Yao Sun, Yongpei Zhu +3
Accurate segmentation of MR brain tissue is a crucial step for diagnosis, surgical planning, and treatment of brain abnormalities. Automatic and reliable segmenta-tion methods are…