Atherosclerotic Plaque Pathological Analysis by Unsupervised <inline-formula> <tex-math notation="LaTeX">$K$ </tex-math></inline-formula>-Means Clustering

Atherosclerotic Plaque Pathological Analysis by Unsupervised <inline-formula> <tex-math notation="LaTeX">$K$ </tex-math></inline-formula>-Means Clustering

This paper introduced a high-throughput pathological analysis algorithm by using of unsupervised K-means clustering principle and lab color space. The accuracy of this algorithm was verified by comparing with well-established commercially available software. For each type of pathological staining sp...

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Bibliographic Details
Main Authors: Jianqin Feng, Yongtao Zhang, Guanghua Yue, Xin Liu, Haijun Su, Peng-Fei Zhang
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Atherosclerotic plaque
pathological analysis
unsupervised K-means clustering
CIELAB
Online Access:https://ieeexplore.ieee.org/document/8331265/

Internet

https://ieeexplore.ieee.org/document/8331265/

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