Zobrazeno 1 - 10
of 112
pro vyhledávání: '"Lin Zehui"'
UniUSNet: A Promptable Framework for Universal Ultrasound Disease Prediction and Tissue Segmentation
Ultrasound is widely used in clinical practice due to its affordability, portability, and safety. However, current AI research often overlooks combined disease prediction and tissue segmentation. We propose UniUSNet, a universal framework for ultraso
Externí odkaz:
http://arxiv.org/abs/2406.01154
Providing explainable molecular property predictions is critical for many scientific domains, such as drug discovery and material science. Though transformer-based language models have shown great potential in accurate molecular property prediction,
Externí odkaz:
http://arxiv.org/abs/2405.16041
Breast cancer is one of the leading causes of cancer deaths in women. As the primary output of breast screening, breast ultrasound (US) video contains exclusive dynamic information for cancer diagnosis. However, training models for video analysis is
Externí odkaz:
http://arxiv.org/abs/2208.09881
Autor:
Manh, Van T., Zhou, Jianqiao, Jia, Xiaohong, Lin, Zehui, Xu, Wenwen, Mei, Zihan, Dong, Yijie, Yang, Xin, Huang, Ruobing, Ni, Dong
Ultrasound (US) is the primary imaging technique for the diagnosis of thyroid cancer. However, accurate identification of nodule malignancy is a challenging task that can elude less-experienced clinicians. Recently, many computer-aided diagnosis (CAD
Externí odkaz:
http://arxiv.org/abs/2207.04219
Autor:
Liang, Jiamin, Yang, Xin, Huang, Yuhao, Liu, Kai, Zhou, Xinrui, Hu, Xindi, Lin, Zehui, Luo, Huanjia, Zhang, Yuanji, Xiong, Yi, Ni, Dong
Ultrasound (US) is widely used for its advantages of real-time imaging, radiation-free and portability. In clinical practice, analysis and diagnosis often rely on US sequences rather than a single image to obtain dynamic anatomical information. This
Externí odkaz:
http://arxiv.org/abs/2207.00474
Autor:
Qian, Jikuan, Li, Rui, Yang, Xin, Huang, Yuhao, Luo, Mingyuan, Lin, Zehui, Hong, Wenhui, Huang, Ruobing, Fan, Haining, Ni, Dong, Cheng, Jun
Different from handcrafted features, deep neural networks can automatically learn task-specific features from data. Due to this data-driven nature, they have achieved remarkable success in various areas. However, manual design and selection of suitab
Externí odkaz:
http://arxiv.org/abs/2204.06697
Autor:
Lin, Zehui, Lai, Yuanming, Li, Menghong, He, Jiaqi, Li, Mingwei, Zhou, Ju, Li, Shiqi, Qi, Wenhan, Han, Jiao, Zeng, Yiming
Publikováno v:
In Journal of Alloys and Compounds 5 January 2025 1010
Autor:
Qian, Lihua, Zhou, Yi, Zheng, Zaixiang, Zhu, Yaoming, Lin, Zehui, Feng, Jiangtao, Cheng, Shanbo, Li, Lei, Wang, Mingxuan, Zhou, Hao
This paper describes the Volctrans' submission to the WMT21 news translation shared task for German->English translation. We build a parallel (i.e., non-autoregressive) translation system using the Glancing Transformer, which enables fast and accurat
Externí odkaz:
http://arxiv.org/abs/2109.11247
Autor:
He, Shuangchi, Lin, Zehui, Yang, Xin, Chen, Chaoyu, Wang, Jian, Shuang, Xue, Deng, Ziwei, Liu, Qin, Cao, Yan, Lu, Xiduo, Huang, Ruobing, Ravikumar, Nishant, Frangi, Alejandro, Zhang, Yuanji, Xiong, Yi, Ni, Dong
Standard plane recognition plays an important role in prenatal ultrasound (US) screening. Automatically recognizing the standard plane along with the corresponding anatomical structures in US image can not only facilitate US image interpretation but
Externí odkaz:
http://arxiv.org/abs/2108.05055
Autor:
Lingyun, B.A.O., HUANG, Zhengrui, LIN, Zehui, SUN, Yue, CHEN, Hui, LI, You, LI, Zhang, YUAN, Xiaochen, XU, Lin, TAN, Tao
Publikováno v:
In Virtual Reality & Intelligent Hardware June 2024 6(3):239-251