45 citations · 45 across the 3 of their papers we have counts for
3 papers
cs.CV2021
A Deep Learning-Based Approach to Extracting Periosteal and Endosteal Contours of Proximal Femur in Quantitative CT Images
Yu Deng, Ling Wang, Chen Zhao +4
Automatic CT segmentation of proximal femur is crucial for the diagnosis and risk stratification of orthopedic diseases; however, current methods for the femur CT segmentation main…
physics.med-ph2020★ 45 cited
Semantic Segmentation Using Deep Learning to Extract Total Extraocular Muscles and Optic Nerve from Orbital Computed Tomography Images
Fubao Zhu, Zhengyuan Gao, Chen Zhao +7
Objectives: Precise segmentation of total extraocular muscles (EOM) and optic nerve (ON) is essential to assess anatomical development and progression of thyroid-associated ophthal…
physics.med-ph2014
Improved Scatter Correction in X-Ray Cone Beam CT with Moving Beam Stop Array Using Johns' Equation
Hao Yan, Xuanqin Mou, Shaojie Tang +1
In this paper, an improved scatter correction with moving beam stop array (BSA) for x-ray cone beam (CB) CT is proposed. Firstly, correlation between neighboring CB views is deduce…