Evaluating Performance of Microwave Image Reconstruction Algorithms: Extracting Tissue Types with Segmentation Using Machine Learning

Evaluating Performance of Microwave Image Reconstruction Algorithms: Extracting Tissue Types with Segmentation Using Machine Learning

Evaluating the quality of reconstructed images requires consistent approaches to extracting information and applying metrics. Partitioning medical images into tissue types permits the quantitative assessment of regions that contain a specific tissue. The assessment facilitates the evaluation of an i...

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Bibliographic Details
Main Authors: Douglas Kurrant, Muhammad Omer, Nasim Abdollahi, Pedram Mojabi, Elise Fear, Joe LoVetri
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Journal of Imaging
Subjects:
breast imaging
microwave imaging
image reconstruction
segmentation
unsupervised machine learning
<i>k</i>-means clustering
Online Access:https://www.mdpi.com/2313-433X/7/1/5

Internet

https://www.mdpi.com/2313-433X/7/1/5

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