Qing-hua Huang, Ph.D.
Affiliations: | 2007 | Hong Kong Polytechnic University (Hong Kong) |
Area:
Biomedical EngineeringGoogle:
"Qing-hua Huang"Parents
Sign in to add mentor| Yongping Zhong | grad student | 2007 | Hong Kong Polytechnic University (Hong Kong) | |
| (Development of a portable 3D ultrasound system for imaging and measurement of musculoskeletal body parts.) | ||||
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Publications
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| Huang Q, Huang Y, Luo Y, et al. (2020) Segmentation of breast ultrasound image with semantic classification of superpixels. Medical Image Analysis. 61: 101657 |
| Tang H, Li Y, Han X, et al. (2020) A Spatial–Spectral Prototypical Network for Hyperspectral Remote Sensing Image Ieee Geoscience and Remote Sensing Letters. 17: 167-171 |
| Huang Q, Deng Q, Li L, et al. (2019) Scoliotic Imaging with A Novel Double-Sweep 2.5-Dimensional Extended Field-of-View Ultrasound. Ieee Transactions On Ultrasonics, Ferroelectrics, and Frequency Control |
| Li Y, Wang X, Huang Q, et al. (2019) Robust multi-view representation for spatial–spectral domain in application of hyperspectral image classification Iet Computer Vision. 13: 90-96 |
| Huang Q, Hu B, Zhang F. (2019) Evolutionary optimized fuzzy reasoning with mined diagnostic patterns for classification of breast tumors in ultrasound Information Sciences. 502: 525-536 |
| Huang Q, Zeng Z, Li X. (2018) 2.5-D Extended Field-of-View Ultrasound. Ieee Transactions On Medical Imaging. 37: 851-859 |
| Huang Q, Wu B, Lan J, et al. (2018) Fully Automatic Three-Dimensional Ultrasound Imaging Based on Conventional B-Scan. Ieee Transactions On Biomedical Circuits and Systems. 12: 426-436 |
| Li Y, Xu J, Xia R, et al. (2018) Extreme-constrained spatial-spectral corner detector for image-level hyperspectral image classification Pattern Recognition Letters. 109: 110-119 |
| Huang Q, Zhang F, Li X. (2018) A new breast tumor ultrasonography CAD system based on decision tree and BI-RADS features World Wide Web. 21: 1491-1504 |
| Luo Y, Liu L, Huang Q, et al. (2017) A Novel Segmentation Approach Combining Region- and Edge-Based Information for Ultrasound Images. Biomed Research International. 2017: 9157341 |