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Wei Dai
Researcher at Shanghai University
Publications - 3
Citations - 181
Wei Dai is an academic researcher from Shanghai University. The author has contributed to research in topics: Non-local means & Speckle pattern. The author has an hindex of 2, co-authored 3 publications receiving 140 citations.
Papers
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Journal ArticleDOI
Deep learning based classification of breast tumors with shear-wave elastography.
TL;DR: A deep learning architecture for automated extraction of learned-from-data image features from the shear-wave elastography (SWE) that integrates feature learning with feature selection on SWE is built and may be potentially used in clinical computer-aided diagnosis of breast cancer.
Journal ArticleDOI
Evaluating pathologic response of breast cancer to neoadjuvant chemotherapy with computer-extracted features from contrast-enhanced ultrasound videos.
TL;DR: Computer-extracted CEUS features show reduced and more heterogeneous neovascularization of cancer after NAC, and achieve high accuracy for discriminating between pre- and post-chemotherapy cancers in responders and thus are potentially valuable for tumor response evaluation in clinical practice.
Proceedings ArticleDOI
Speckle suppression of ultrasonic images using non-local means and McIlhagga-based anisotropic diffusion
TL;DR: A new method for speckle suppression by integrating the non-local means (NLM) with the McIlhagga-based anisotropic diffusion (MAD) to demonstrate its superiority to seven state-of-the-art methods in terms of noise reduction and detail preservation.