Juan Shan, Ph.D.
Affiliations: | 2011 | Computer Science | Utah State University, Logan, UT, United States |
Area:
Computer Science, RadiologyGoogle:
"Juan Shan"Parents
Sign in to add mentorHeng-Da Cheng | grad student | 2011 | Utah State University | |
(A fully automatic segmentation method for breast ultrasound images.) |
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Publications
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Cao W, Shan J, Czarnek N, et al. (2018) Microaneurysm Detection Using Principal Component Analysis and Machine Learning htbp c ab1 *These authors contributed equally. Ieee Transactions On Nanobioscience |
Du Y, Almajalid R, Shan J, et al. (2018) A Novel Method to Predict Knee Osteoarthritis Progression on MRI Using Machine Learning Methods. Ieee Transactions On Nanobioscience |
Shan J, Alam SK, Garra B, et al. (2016) Computer-Aided Diagnosis for Breast Ultrasound Using Computerized BI-RADS Features and Machine Learning Methods. Ultrasound in Medicine & Biology |
Shan J, Li L. (2014) A new scheme to evaluate the accuracy of knowledge representation in automated breast cancer diagnosis 2014 International Conference On Collaboration Technologies and Systems, Cts 2014. 622-627 |
Wang Y, Cheng HD, Shan J. (2014) Multiplayer tracking system for short track speed skating Iet Computer Vision. 8: 629-641 |
Shan J, Cheng HD, Wang Y. (2012) A novel segmentation method for breast ultrasound images based on neutrosophic l-means clustering. Medical Physics. 39: 5669-82 |
Shan J, Cheng HD, Wang Y. (2012) Completely automated segmentation approach for breast ultrasound images using multiple-domain features. Ultrasound in Medicine & Biology. 38: 262-75 |
Cheng H, Shan J, Ju W, et al. (2010) Automated breast cancer detection and classification using ultrasound images: A survey Pattern Recognition. 43: 299-317 |
Ju W, Shan J, Yan C, et al. (2009) Discrimination of disease-related non-synonymous single nucleotide polymorphisms using multi-scale RBF kernel fuzzy support vector machine Pattern Recognition Letters. 30: 391-396 |