Zobrazeno 1 - 10
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pro vyhledávání: '"Han, Weidong"'
Autor:
Zhu, Dongsheng, Tang, Xunzhu, Han, Weidong, Lu, Jinghui, Zhao, Yukun, Xing, Guoliang, Wang, Junfeng, Yin, Dawei
This paper presents VisLingInstruct, a novel approach to advancing Multi-Modal Language Models (MMLMs) in zero-shot learning. Current MMLMs show impressive zero-shot abilities in multi-modal tasks, but their performance depends heavily on the quality
Externí odkaz:
http://arxiv.org/abs/2402.07398
In recent years, the growing demand for medical imaging diagnosis has placed a significant burden on radiologists. As a solution, Medical Vision-Language Pre-training (Med-VLP) methods have been proposed to learn universal representations from medica
Externí odkaz:
http://arxiv.org/abs/2305.07920
Current methods for prompt learning in zeroshot scenarios widely rely on a development set with sufficient human-annotated data to select the best-performing prompt template a posteriori. This is not ideal because in a realworld zero-shot scenario of
Externí odkaz:
http://arxiv.org/abs/2209.15206
Autor:
Nie, Jing, Wang, Chunmeng, Zheng, Liangtao, Liu, Yang, Wang, Chengcheng, Chang, Yixin, Hu, Yudi, Guo, Bing, Pan, Yuting, Yang, Qingming, Hu, Xueda, Han, Weidong
Publikováno v:
In Blood 31 October 2024 144(18):1936-1950
Autor:
Gao, Yang, Li, Jianan, Cheng, Wenfeng, Diao, Tian, Liu, Huilan, Bo, Yufei, Liu, Chang, Zhou, Wei, Chen, Minmin, Zhang, Yuanyuan, Liu, Zhihua, Han, Weidong, Chen, Rufu, Peng, Jirun, Zhu, Linnan, Hou, Wenhong, Zhang, Zemin
Publikováno v:
In Cancer Cell 14 October 2024 42(10):1764-1783
Publikováno v:
In Photodiagnosis and Photodynamic Therapy April 2024 46
Autor:
Pu, Yedi, Zhao, Yifan, Qi, Yuekun, Liu, Yang, Zhang, Meng, Xiao, Xia, Lyu, Hairong, Meng, Juanxia, Zhu, Haibo, Xu, Kailin, Han, Weidong, Zhao, Mingfeng
Publikováno v:
In International Immunopharmacology 30 March 2024 130
Publikováno v:
Pattern Recognition, 2021
Automatic pulmonary nodules classification is significant for early diagnosis of lung cancers. Recently, deep learning techniques have enabled remarkable progress in this field. However, these deep models are typically of high computational complexit
Externí odkaz:
http://arxiv.org/abs/2101.07429
Akademický článek
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Autor:
Ai, Huisheng, Chao, Nelson J., Rizzieri, David A., Huang, Xiaojun, Spitzer, Thomas R., Wang, Jianxiang, Guo, Mei, Keating, Armand, Krakow, Elizabeth F., Blaise, Didier, Ma, Jun, Wu, Depei, Reagan, John, Gergis, Usama, Duarte, Rafael F., Chaudhary, Preet M., Hu, Kaixun, Yu, Changlin, Sun, Qiyun, Fuchs, Ephraim, Cai, Bo, Huang, Yajing, Qiao, Jianhui, Gottlieb, David, Schultz, Kirk R., Liu, Mingyao, Chen, Xiequn, Chen, Wenming, Wang, Jianmin, Zhang, Xiaohui, Li, Jianyong, Huang, He, Sun, Zimin, Li, Fei, Yang, Linhua, Zhang, Liansheng, Li, Lijuan, Liu, Kaiyan, Jin, Jie, Liu, Qifa, Liu, Daihong, Gao, Chunji, Fan, Chuanbo, Wei, Li, Zhang, Xi, Hu, Liangding, Zhang, Weijing, Tian, Yuyang, Han, Weidong, Zhu, Jun, Xiao, Zhijian, Zhou, Daobin, Zhang, Bolong, Jia, Yongqian, Zhang, Yongqing, Wu, Xiaoxiong, Shen, Xuliang, Lu, Xuzhang, Zhan, Xinrong, Sun, Xiuli, Xiao, Yi, Wang, Jingbo, Shi, Xiaodong, Zheng, Bo, Chen, Jieping, Ding, Banghe, Wang, Zhao, Zhou, Fan, Zhang, Mei, Zhang, Yizhuo, Sun, Jie, Xia, Bing, Chen, Baoan, Ma, Liangming
Publikováno v:
In Heliyon April 2023 9(4)