Work

Fully automatic segmentation of paraspinal muscles from 3D torso CT images via multi-scale iterative random forest classifications

Year: 2018

Type: article

Source: International Journal of Computer Assisted Radiology and Surgery

DOI: 10.1007/s11548-018-1852-1

Authors: Naoki Kamiya, Jing Li, Masanori Kume, Hiroshi Fujita, Dinggang Shen, Guoyan Zheng

Institutions: Aichi Prefectural University, University of Bern, Gifu 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: Japan Society for the Promotion of Science, National Cancer Institute

Awards: G2295296789, Automatic Pelvic Organ Delineation in Prostate Cancer Treatment, G6858457784

OpenAlex ID: W2888938880

FWCI: 1.751

Cites: 29

Cited by: 33

Related to: 10