Kuo-ying Liu
No. 1, Yi Da Road, 824
Kaohsiung, KHQ, Taiwan
Kaohsiung, KHQ, Taiwan
Last Updated: 09/26/2026
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Found 16 publications
AI-Enhanced Deep Learning Framework for Pulmonary Embolism Detection in CT Angiography.
Journal: Bioengineering (Basel, Switzerland)
Published: August 17, 2025
Majority Voting Ensemble of Deep CNNs for Robust MRI-Based Brain Tumor Classification.
Journal: Diagnostics (Basel, Switzerland)
Published: May 26, 2025
Deep learning-driven brain tumor classification and segmentation using non-contrast MRI.
Journal: Scientific reports
Published: February 10, 2025
Deep Learning-Based Object Detection Strategies for Disease Detection and Localization in Chest X-Ray Images.
Journal: Diagnostics (Basel, Switzerland)
Published: October 10, 2024
Using Key Predictors in an SVM Model for Differentiating Spinal Fractures and Herniated Intervertebral Discs in Preoperative Anesthesia Evaluation.
Journal: Diagnostics (Basel, Switzerland)
Published: September 26, 2024
CNN-Based Cross-Modality Fusion for Enhanced Breast Cancer Detection Using Mammography and Ultrasound.
Journal: Tomography (Ann Arbor, Mich.)
Published: September 19, 2024
Fusion extracted features from deep learning for identification of multiple positioning errors in dental panoramic imaging.
Journal: Journal of X-ray science and technology
Published: October 16, 2023
Classification of Color Fundus Photographs Using Fusion Extracted Features and Customized CNN Models.
Journal: Healthcare (Basel, Switzerland)
Published: July 14, 2023
Fusion-Extracted Features by Deep Networks for Improved COVID-19 Classification with Chest X-ray Radiography.
Journal: Healthcare (Basel, Switzerland)
Published: March 29, 2023
Using Deep Neural Network Approach for Multiple-Class Assessment of Digital Mammography.
Journal: Healthcare (Basel, Switzerland)
Published: October 17, 2022
Segmentation of liver tumors with abdominal computed tomography using fully convolutional networks.
Journal: Journal of X-ray science and technology
Published: June 27, 2022
Last Updated: 09/26/2026