Work

Shape Modeling and Atlas-Based Segmentation for Identification of Lower Leg Tissues in pQCT

Year: 2019

Type: conference-paper

Source: IEEE Signal Processing in Medicine and Biology Symposium

DOI: 10.1109/spmb47826.2019.9037862

Authors: S. Makrogiannis, A. Okorie, T. Biswas, L. Ferrucci

Institutions: Delaware State University, National Institutes of Health, National Institute on Aging

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: closed

OpenAlex ID: W3012321893

FWCI:

Cites: 12

Cited by: 1

Related to: 10