Dual-Energy CT Texture Analysis With Machine Learning for the Evaluation and Characterization of Cervical Lymphadenopathy
ABSTRACT: Purpose: To determine whether machine learning assisted-texture analysis of multi-energy virtual monochromatic image (VMI) datasets from dual-energy CT (DECT) can be used to differentiate metastatic head and neck squamous cell carcinoma (HNSCC) lymph nodes from lymphoma, inflammatory, or...
Main Authors: | , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2019-01-01
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Series: | Computational and Structural Biotechnology Journal |
Online Access: | http://www.sciencedirect.com/science/article/pii/S200103701830309X |