Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Cai, Chang"'
Autor:
Yang Gu, Wen Xu, Bin Lin, Xing An, Jiawei Tian, Haitao Ran, Weidong Ren, Cai Chang, Jianjun Yuan, Chunsong Kang, Youbin Deng, Hui Wang, Baoming Luo, Shenglan Guo, Qi Zhou, Ensheng Xue, Weiwei Zhan, Qing Zhou, Jie Li, Ping Zhou, Man Chen, Ying Gu, Wu Chen, Yuhong Zhang, Jianchu Li, Longfei Cong, Lei Zhu, Hongyan Wang, Yuxin Jiang
Publikováno v:
Insights into Imaging, Vol 13, Iss 1, Pp 1-14 (2022)
Abstract Background Studies on deep learning (DL)-based models in breast ultrasound (US) remain at the early stage due to a lack of large datasets for training and independent test sets for verification. We aimed to develop a DL model for differentia
Externí odkaz:
https://doaj.org/article/cabbdfcb2d8e411097d0d7dfa83805b5
Publikováno v:
Pattern Recognition Letters. 165:128-137
Publikováno v:
Expert Systems with Applications. 229:120450
Publikováno v:
Cognitive Computation. 13:1099-1113
Precise nodule segmentation in thyroid ultrasound images is important for clinical quantitative analysis and diagnosis. Fully supervised deep learning method can effectively extract representative features from nodules and background. Despite the gre
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 70:1-8
Segmentation of the breast ultrasound (BUS) image is an important step for subsequent assessment and diagnosis of breast lesions. Recently, Deep-learning-based methods have achieved satisfactory performance in many computer vision tasks, especially i
Publikováno v:
Journal of Medical Imaging and Health Informatics. 9:1510-1515
Publikováno v:
Medical Physics. 46:215-228
Purpose Due to the low contrast, blurry boundaries, and large amount of shadows in breast ultrasound (BUS) images, automatic tumor segmentation remains a challenging task. Deep learning provides a solution to this problem, since it can effectively ex
Autor:
Cai Chang, Shichong Zhou, Weijun Zhou, Xiaoyan Fei, Jun Wang, Jun Shi, Xiangmin Han, Shihui Ying
Publikováno v:
Pattern Recognition. 120:108139
The bimodal ultrasound, namely B-mode ultrasound (BUS) and elastography ultrasound (EUS), provide complementary information to improve the diagnostic accuracy of breast cancers. However, in clinical practice, it is easier to acquire the labeled BUS i
Publikováno v:
J Digit Imaging
The accurate localization of nodules in ultrasound images can convey crucial information to support a reliable diagnosis. However, this is usually challenging due to low contrast and image artifacts, especially in thyroid ultrasound images where nodu
Publikováno v:
ICDSP
The noise immune characteristics of chaotic systems can effectively detect useful signals in the background of strong noise. Aiming at the problem that the state of phase space is judged by human eye observation as the main means and lack of reliable