中国科学院机构知识库网格系统: 检索

浏览/检索结果: 共5条，第1-5条

帮助

条数/页：排序方式：
	Deep learning radiomics of multimodal ultrasound for classifying metastatic cervical lymphadenopathy into primary cancer sites: a feasibility study 期刊论文 OAI收割 ULTRASCHALL IN DER MEDIZIN, 2023, 页码: 11 作者: Zhu, Yangyang; Meng, Zheling; Wu, Hao; Fan, Xiao; Lv, Wenhao \| 收藏 \| 浏览/下载：8/0 \| 提交时间：2024/02/22 Multimodal Ultrasound Metastatic Cervical Lymphadenopathy Deep Learning Primary Cancer Sites
	Description-Enhanced Label Embedding Contrastive Learning for Text Classification 期刊论文 OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 14 作者: Zhang, Kun; Wu, Le; Lv, Guangyi; Chen, Enhong; Ruan, Shulan \| 收藏 \| 浏览/下载：7/0 \| 提交时间：2023/11/17 Contrastive learning (CL) label embedding representation learning text classification
	Application of deep learning to predict underestimation in ductal carcinoma in situ of the breast with ultrasound 期刊论文 OAI收割 ANNALS OF TRANSLATIONAL MEDICINE, 2021, 卷号: 9, 期号: 4, 页码: 9 作者: Qian, Lang; Lv, Zhikun; Zhang, Kai; Wang, Kun; Zhu, Qian \| 收藏 \| 浏览/下载：12/0 \| 提交时间：2021/04/21 Artificial intelligence (AI) ductal carcinoma in situ (DCIS) core needle biopsy (CNB) prediction of upstaging
	Deep sparse representation-based mid-level visual elements discovery in fine-grained classification 期刊论文 OAI收割 SOFT COMPUTING, 2019, 卷号: 23, 期号: 18, 页码: 8711-8722 作者: Lv, Le; Zhao, Dongbin; Shao, Kun \| 收藏 \| 浏览/下载：52/0 \| 提交时间：2019/12/16 Mid-level visual elements discovery Fine-grained classification Winner-take-all autoencoder Bipartite graph spectral partitioning
	ADP with MCTS algorithm for Gomoku 会议论文 OAI收割 Athens, Greece, 6-9 Dec. 2016 作者: Tang Zhentao; Zhao Dongbin; Shao Kun; Lv Le \| 收藏 \| 浏览/下载：25/0 \| 提交时间：2017/05/08