Work

Automated Breast Segmentation of Fat and Water MR Images Using Dynamic Programming

Year: 2015

Type: article

Source: Academic Radiology

DOI: 10.1016/j.acra.2014.09.015

Authors: José A. Rosado-Toro, Tomoe Barr, Jean-Philippe Galons, Marilyn T. Marron, Alison Stopeck, Cynthia Thomson, Patricia Thompson, Danielle Carroll, Eszter Wolf, María I. Altbach, Jeffrey J. Rodríguez

Institutions: University of Arizona, University of Arizona Cancer Center

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 Institutes of Health, National Heart, Lung, and Blood Institute, National Cancer Institute, National Institute of Biomedical Imaging and Bioengineering

Awards: G1663824891, G1875861566, Evaluation of Di-indolylmethane supplementation to modulate tamoxifen efficacy in, G3548445448, DIFFUSION MRI AS BIOMARKER FOR THERAPY RESPONSE IN BREAST CANCER METASTASES, University of Arizona LSAMP Bridge to the Doctorate, G563228771, G7984081149, Detection of Lipid Infiltration in the Heart with MRI, G8308727442

OpenAlex ID: W2021600903

FWCI: 5.489

Cites: 35

Cited by: 39

Related to: 10