Plaque Tissue Morphology-Based Stroke Risk Stratification Using Carotid Ultrasound: A Polling-Based PCA Learning Paradigm.

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Plaque Tissue Morphology-Based Stroke Risk Stratification Using Carotid Ultrasound: A Polling-Based PCA Learning Paradigm.

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2017 nî lūn-bûn

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2017年の論文

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2017年論文

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2017年論文

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2017年論文

@zh-hk

2017年論文

@zh-mo

2017年論文

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2017年论文

@wuu

2017年论文

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2017年论文

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Plaque Tissue Morphology-Based ...... g-Based PCA Learning Paradigm.

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label

Plaque Tissue Morphology-Based ...... g-Based PCA Learning Paradigm.

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prefLabel

Plaque Tissue Morphology-Based ...... g-Based PCA Learning Paradigm.

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P1476

Plaque Tissue Morphology-Based ...... g-Based PCA Learning Paradigm.

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Ajay Gupta

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Andrew Nicolaides

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Bikesh K Singh

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Harman S Suri

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Jasjit S Suri

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John R Laird

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Luca Saba

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Nobutaka Ikeda

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Pankaj K Jain

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Shoaib Shafique

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P2860

Progress and challenges in translating the biology of atherosclerosis

Two Automated Techniques for Carotid Lumen Diameter Measurement: Regional versus Boundary Approaches.

Carotid inter-adventitial diameter is more strongly related to plaque score than lumen diameter: An automated tool for stroke analysis.

A Review on Carotid Ultrasound Atherosclerotic Tissue Characterization and Stroke Risk Stratification in Machine Learning Framework.

Ultrasound tissue characterization of vulnerable atherosclerotic plaque

Common carotid artery wall thickness and external diameter as predictors of prevalent and incident cardiac events in a large population study.

Exploring the color feature power for psoriasis risk stratification and classification: A data mining paradigm.

Carotid artery recognition system: a comparison of three automated paradigms for ultrasound images.

Constrained snake vs. conventional snake for carotid ultrasound automated IMT measurements on multi-center data sets.

Artificial neural network application in the diagnosis of disease conditions with liver ultrasound images

P2888

s10916-017-0745-0

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scholarly article

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10.1007/S10916-017-0745-0

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P478

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2017-05-13T00:00:00Z

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1085400648

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28501967

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