Zobrazeno 1 - 10
of 346
pro vyhledávání: '"Cai, Yunpeng"'
Machine-based brain tumor segmentation can help doctors make better diagnoses. However, the complex structure of brain tumors and expensive pixel-level annotations present challenges for automatic tumor segmentation. In this paper, we propose a count
Externí odkaz:
http://arxiv.org/abs/2408.01191
Image classification is a primary task in data analysis where explainable models are crucially demanded in various applications. Although amounts of methods have been proposed to obtain explainable knowledge from the black-box classifiers, these appr
Externí odkaz:
http://arxiv.org/abs/2406.07961
Wound healing is a complex process involving changes in collagen fibers. Accurate monitoring of these changes is crucial for assessing the progress of wound healing and has significant implications for guiding clinical treatment strategies and drug s
Externí odkaz:
http://arxiv.org/abs/2405.05297
Autor:
Du, Zhenzhen, Yang, Yujie, Zheng, Jing, Li, Qi, Lin, Denan, Li, Ye, Fan, Jianping, Cheng, Wen, Chen, Xie-Hui, Cai, Yunpeng
Publikováno v:
JMIR Medical Informatics, Vol 8, Iss 7, p e17257 (2020)
BackgroundPredictions of cardiovascular disease risks based on health records have long attracted broad research interests. Despite extensive efforts, the prediction accuracy has remained unsatisfactory. This raises the question as to whether the dat
Externí odkaz:
https://doaj.org/article/e66f0240f1a4495ab31e31cbd8f96a6b
Explainability poses a major challenge to artificial intelligence (AI) techniques. Current studies on explainable AI (XAI) lack the efficiency of extracting global knowledge about the learning task, thus suffer deficiencies such as imprecise saliency
Externí odkaz:
http://arxiv.org/abs/2306.07306
Publikováno v:
In Journal of Alloys and Compounds 25 September 2024 1000
Autor:
Liu, Kan, Cui, Qifeng, Shi, Lu, Yang, Jingyu, Cai, Yunpeng, Su, Yishi, Ouyang, Qiubao, Zhang, Di
Publikováno v:
In Composites Part B 1 July 2024 280
Autor:
Cai, Yunpeng, Chen, Hui, Gao, Feng, Bai, Zhenxu, Qi, Yaoyao, Wang, Yulei, Lu, Zhiwei, Ding, Jie
Publikováno v:
In Diamond & Related Materials June 2024 146
Autor:
Ding, Jie, Gao, Feng, Cai, Yunpeng, Bai, Zhenxu, Qi, Yaoyao, Yan, Bingzheng, Wang, Yulei, Lu, Zhiwei
Publikováno v:
In Infrared Physics and Technology January 2024 136
Smoothness Sensor: Adaptive Smoothness-Transition Graph Convolutions for Attributed Graph Clustering
Clustering techniques attempt to group objects with similar properties into a cluster. Clustering the nodes of an attributed graph, in which each node is associated with a set of feature attributes, has attracted significant attention. Graph convolut
Externí odkaz:
http://arxiv.org/abs/2009.05743