Work

Automatic cystocele severity grading in transperineal ultrasound by random forest regression

Year: 2016

Type: article

Source: Pattern Recognition

DOI: 10.1016/j.patcog.2016.09.033

Authors: Dong Ni, Xing Ji, Min Wu, Wenlei Wang, Xiaoshuang Deng, Zhongyi Hu, Tianfu Wang, Dinggang Shen, Jie-Zhi Cheng, Huifang Wang

Institutions: Shenzhen University, Shenzhen Second People's Hospital, Wenzhou University, University of North Carolina at Chapel Hill, Korea University

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Natural Science Foundation of China, Ministry of Science and Technology of the People's Republic of China

Awards: 基于个性化形变模型与混合模糊相似度的前列腺多模图像非刚体部分配准方法研究, G7407811887, G7688162605

OpenAlex ID: W2522980005

FWCI: 1.585

Cites: 27

Cited by: 12

Related to: 10