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Kuo-Ying Liu on Muck Rack

Kuo-Ying Liu

As seen in: Healthcare Magazine MDPI, MDPI
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Articles

AI-Enhanced Biosensing from CT Imaging: A CIOF-Based Deep Learning Framework for Pulmonary Embolism Detection

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By Nan-Han Lu, Chi-Yuan Wang, Kuo-Ying Liu, Yung-Hui Huang
| Preprints.org
You are already at the latest version Pulmonary embolism (PE) is a critical cardiovascular condition requiring rapid and accurate detection. This study presents an AI-enhanced biosensing framework utilizing computed tomography angiography (CTA) as an imaging-based sensor platform for automated PE diagnosis. Deep learning-based semantic segmentation models were employed to extract pathophysiological signals indicative of emboli.
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Majority Voting Ensemble of Deep CNNs for Robust MRI-Based Brain Tumor Classification

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By Kuo-Ying Liu, Nan-Han Lu, Yung-Hui Huang, Akari Matsushima
| Preprints.org
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Open in Who Shared View Duplicates (593) Issue with article?

Classification of Color Fundus Photographs Using Fusion Extracted Features and Customized CNN Models

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By Nan-Han Lu, Kuo-Ying Liu, Jing-Zhe Wang, Wei-Chang Du
| MDPI
1. Introduction Eye diseases represent a significant health concern worldwide, with a growing prevalence that poses substantial challenges to healthcare systems and impacts patients’ quality of life. Common ocular conditions such as age-related macular degeneration, cataracts, glaucoma, and diabetes-related eye diseases, among others, necessitate early detection and accurate diagnosis to improve treatment outcomes and reduce disease burden.
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