Assessment of stroke risk using MRI-VPD with automatic segmentation of carotid plaques and classification of plaque properties based on deep learning-Reference-Cited by-同舟云学术

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Assessment of stroke risk using MRI-VPD with automatic segmentation of carotid plaques and classification of plaque properties based on deep learning

Published:2023-09 Issue:3 Volume:16 Page:100630
ISSN:1687-8507
Container-title:Journal of Radiation Research and Applied Sciences
language:en
Short-container-title:Journal of Radiation Research and Applied Sciences

Author:

Wang Yi,Cai Chi,Du Ye-Ming,Li Yuan-Zhe,Li Shu-Ting,Huang Jing,Wu Hong

Publisher

Elsevier BV

Subject

General Medicine

Reference29 articles.

1. The relationship between Precision-Recall and ROC curves;Davis,2006

2. Identifying carotid plaque composition in MRI with convolutional neural networks;Dong,2017

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1. Diagnostics Accuracy of Magnetic Resonance Imaging in Detection of Atherosclerotic Plaque Characteristics in Carotid Arteries Compared to Histology: A Systematic Review;Journal of Magnetic Resonance Imaging;2024-07-09

2. Ultrasound diagnostic potential of carotid plaques in symptomatic and asymptomatic patients: Insights from quantitative gray-scale analysis;Journal of Radiation Research and Applied Sciences;2024-03

3. Evaluating Atherosclerotic Plaque Composition Using 3D Magnetic Resonance Imaging;2023 International Conference on Emerging Research in Computational Science (ICERCS);2023-12-07

4. A study on the detection of thyroid cancer in Hashimoto's thyroiditis using computed tomography imaging radiomics;Journal of Radiation Research and Applied Sciences;2023-12

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