Posted on 18/01/202518/01/2025 by ScienceFather Mr. Shuhuan Wang | Medical Image Analysis | Best Researcher Award Shuhuan Wang at Northeastern University, China Profiles Scopus Orcid Google Scholar Summary Mr. Shuhuan Wang is a Ph.D. candidate in Biomedical Engineering at Northeastern University, specializing in ultrasound and medical image analysis. His work focuses on leveraging advanced engineering techniques to enhance diagnostic accuracy and clinical decision-making. Education Ph.D. in Biomedical Engineering – Northeastern University (Ongoing) Master’s in Electronic Information – Tohoku University Professional Experience Contributor to key R&D projects, including: Jiangxi Provincial Project on ultrasound diagnosis for thyroid nodules. Liaoning Provincial Project on AI-based cardiac assessment. Collaborations with prestigious hospitals like the Second Affiliated Hospital of Nanchang University and the General Hospital of the People’s Liberation Army Northern War Area. Research Interests Ultrasound Image Analysis: Intelligent segmentation, enhancement, and classification for medical diagnosis. AI in Medicine: Developing innovative algorithms for accurate and efficient disease detection. Publications DP-CLAM: A weakly supervised benign-malignant classification study based on dual-angle scanning ultrasound images of thyroid nodules Authors: Wang, S., Zhang, S., Liao, L., Huang, L., Ma, H. Journal: Medical Engineering and Physics Year: 2025 A model fusion method based DAT-DenseNet for classification and diagnosis of aortic dissection Authors: He, L., Wang, S., Liu, R., Ma, H., Wang, X. Journal: Physical and Engineering Sciences in Medicine Year: 2024 SRT: Swin-residual transformer for benign and malignant nodules classification in thyroid ultrasound images Authors: Huang, L., Xu, Y., Wang, S., Sang, L., Ma, H. Journal: Medical Engineering and Physics Year: 2024 DPAM-PSPNet: Ultrasonic image segmentation of thyroid nodule based on dual-path attention mechanism Authors: Wang, S., Li, Z., Liao, L., Huang, L., Ma, H. Journal: Physics in Medicine and Biology Year: 2023 Mr. Shuhuan Wang | Medical Image Analysis | Best Researcher Award