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浏览/检索结果: 共6条，第1-6条 帮助 限定条件 发表日期：2023     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择发表日期升序发表日期降序提交时间升序提交时间降序题名升序题名降序作者升序作者降序 Diagnosing and grading gastric atrophy and intestinal metaplasia using semi-supervised deep learning on pathological images: development and validation study 期刊论文 GASTRIC CANCER, 2023, 页码: 12 作者:  Fang, Shuangshuang;  Liu, Zhenyu;  Qiu, Qi;  Tang, Zhenchao;  Yang, Yang 收藏  |  浏览/下载：2/0  |  提交时间：2024/02/22 Atrophic gastritis  Semi-supervised deep learning  Diagnose  The operative link for gastric intestinal metaplasia assessment  The operative link for gastritis assessment   Deep Rank-Consistent Pyramid Model for Enhanced Crowd Counting 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 14 作者:  Gao, Jiaqi;  Huang, Zhizhong;  Lei, Yiming;  Shan, Hongming;  Wang, James Z. 收藏  |  浏览/下载：0/0  |  提交时间：2024/02/22 Crowd counting  feature pyramid  ranking  semi-supervised learning   Spatial pattern of marine oxygenation set by tectonic and ecological drivers over the Phanerozoic 期刊论文 NATURE GEOSCIENCE, 2023, 页码: 19 作者:  Wang, Xiangli;  Algeo, Thomas J.;  Li, Chao;  Zhu, Maoyan 收藏  |  浏览/下载：1/0  |  提交时间：2024/03/14 A multi-view co-training network for semi-supervised medical image-based prognostic prediction 期刊论文 NEURAL NETWORKS, 2023, 卷号: 164, 页码: 455-463 作者:  Li, Hailin;  Wang, Siwen;  Liu, Bo;  Fang, Mengjie;  Cao, Runnan 收藏  |  浏览/下载：4/0  |  提交时间：2023/11/17 Deep neural network  Medical image analysis  Prognostic prediction  Semi-supervised learning   Beyond Single Reference for Training: Underwater Image Enhancement via Comparative Learning 期刊论文 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 6, 页码: 2561-2576 作者:  Li, Kunqian;  Wu, Li;  Qi, Qi;  Liu, Wenjie;  Gao, Xiang 收藏  |  浏览/下载：5/0  |  提交时间：2023/11/17 Training  Image enhancement  Visualization  Task analysis  Generators  Deep learning  Oceans  Underwater image enhancement  deep learning  convolutional neural network  comparative learning  blind image quality assessment   CNN-Based Broad Learning for Cross-Domain Emotion Classification 期刊论文 TSINGHUA SCIENCE AND TECHNOLOGY, 2023, 卷号: 28, 期号: 2, 页码: 360-369 作者:  Zeng, Rong;  Liu, Hongzhan;  Peng, Sancheng;  Cao, Lihong;  Yang, Aimin 收藏  |  浏览/下载：23/0  |  提交时间：2022/11/14 Measurement  Deep learning  Adaptation models  Feature extraction  Convolutional neural networks  Data mining  Task analysis  cross-domain emotion classification  CNN  broad learning  classifier  co-training