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Early and Late Fusion Machine Learning on Multi-Frequency Electrical Impedance Data to Improve Radiofrequency Ablation Monitoring
Work
Year: 2019
Type: article
Abstract: Radiofrequency ablation (RFA) is a popular modality for tumor treatment. However, inexpensive real-time monitoring of RFA within multiple tissue types is still an ongoing research topic. The objective... more
Source: IEEE Journal of Biomedical and Health Informatics
Authors Emre Besler, Y. Curtis Wang, Alan V. Sahakian
Institutions Northwestern University, California State University Los Angeles
Cites: 42
Cited by: 9
Related to: 10
FWCI: 0.274
Citation percentile (by year/subfield): 69.71
Topic: Electrical and Bioimpedance Tomography
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Sustainable Development Goal Good health and well-being
Open Access status: bronze
Funders National Science Foundation, National Science Foundation
Grant IDS 1622842, 1738541