Work

A learning-based CT prostate segmentation method via joint transductive feature selection and regression

Year: 2015

Type: article

Source: Neurocomputing

DOI: 10.1016/j.neucom.2014.11.098

Authors: Yinghuan Shi, Yaozong Gao, Shu Liao, Daoqiang Zhang, Yang Gao, Dinggang Shen

Institutions: University of North Carolina at Chapel Hill, Nanjing University, 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 Science Foundation, National Natural Science Foundation of China, National Institutes of Health, Program for New Century Excellent Talents in University, National Cancer Institute

Awards: G1582884811, 基于云计算的海量数据挖掘, G2106239457, G2296064708, G3391680567, Online Collection of Patient-Specific Information for Daily Prostate Segmentation, 面向大数据的知识表示、推理、在线学习理论及应用研究, G5616286496, G567550234, G6667581590, G6750501878

OpenAlex ID: W1254779325

FWCI: 1.444

Cites: 56

Cited by: 18

Related to: 10