机构

• 沈阳自动化研究所 [121]

采集方式

• OAI收割 [121]

内容类型

• 期刊论文 [63]
• 会议论文 [32]
• 学位论文 [16]
• 专利 [9]
• 专著章节/文集论文 [1]

发表日期

• 2022 [9]
• 2021 [13]
• 2020 [7]
• 2019 [9]
• 2018 [12]
• 2017 [10]
• 更多

学科主题

筛选

浏览/检索结果: 共121条，第1-10条 帮助 限定条件 专题：沈阳自动化研究所    第一署名单位    第一作者单位    通讯作者单位     条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序发表日期升序发表日期降序题名升序题名降序作者升序作者降序 A hierarchical conditional random field-based attention mechanism approach for gastric histopathology image classification 期刊论文  OAI收割 APPLIED INTELLIGENCE, 2022, 页码: 1-22 作者:  Li, Yixin;  Wu, Xinran;  Li C(李晨);  Li, Xiaoyan;  Chen, Haoyuan   |  收藏  |  浏览/下载：31/0  |  提交时间：2022/01/20 Attention mechanism  Histopathology image  Conditional random field  Gastric cancer  Image classification   GasHisSDB: A new gastric histopathology image dataset for computer aided diagnosis of gastric cancer 期刊论文  OAI收割 Computers in Biology and Medicine, 2022, 卷号: 142, 页码: 1-9 作者:  Hu, Weiming;  Li C(李晨);  Li, Xiaoyan;  Rahaman, Md Mamunur;  Ma, Jiquan   |  收藏  |  浏览/下载：75/0  |  提交时间：2022/01/27 Gastric histopathology  Sub-size image  Database  Image classification   IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach 期刊论文  OAI收割 Computers in Biology and Medicine, 2022, 卷号: 143, 页码: 1-17 作者:  Chen, Haoyuan;  Li C(李晨);  Li, Xiaoyan;  Rahaman, Md Mamunur;  Hu, Weiming   |  收藏  |  浏览/下载：53/0  |  提交时间：2022/02/11 Colorectal cancer histopathology image  Attention mechanism  Interactivity learning  Image classificatio   PRECISE SEGMENTATION and MEASUREMENT of INCLINED FISH’S FEATURES BASED on U-NET and FISH MORPHOLOGICAL CHARACTERISTICS 期刊论文  OAI收割 Applied Engineering in Agriculture, 2022, 卷号: 38, 期号: 1, 页码: 37-48 作者:  Yu C(余创);  Liu YP(刘云鹏);  Hu ZH(胡祝华);  Xia X(夏鑫)   |  收藏  |  浏览/下载：24/0  |  提交时间：2022/04/13 Circumscribed rectangle  Fish features  Inclined fish  Rotation correction  U-Net   A Comprehensive Review of Markov Random Field and Conditional Random Field Approaches in Pathology Image Analysis 期刊论文  OAI收割 Archives of Computational Methods in Engineering, 2022, 卷号: 29, 期号: 1, 页码: 609-639 作者:  Li, Yixin;  Li, Chen;  Li, Xiaoyan;  Wang K(王锴);  Rahaman, Md Mamunur   |  收藏  |  浏览/下载：19/0  |  提交时间：2021/05/25 An optimal method based on HOG-SVM for fault detection 期刊论文  OAI收割 MULTIMEDIA TOOLS AND APPLICATIONS, 2022, 页码: 1-16 作者:  Xu, Panfeng   |  收藏  |  浏览/下载：32/0  |  提交时间：2022/02/04 Fault detection  Feature extraction  Image classification  Support vector machine   Deep learning with laser-induced breakdown spectroscopy (LIBS) for the classification of rocks based on elemental imaging 期刊论文  OAI收割 Applied Geochemistry, 2022, 卷号: 136, 页码: 1-10 作者:  Chen T(陈彤);  Sun LX(孙兰香);  Yu HB(于海斌);  Wang W(汪为);  Qi LF(齐立峰)   |  收藏  |  浏览/下载：51/0  |  提交时间：2021/11/27 Data augmentation  Inception-v3 net  LIBS-Based imaging  Rock classification  Transfer learning   Is the aspect ratio of cells important in deep learning? A robust comparison of deep learning methods for multi-scale cytopathology cell image classification: From convolutional neural networks to visual transformers 期刊论文  OAI收割 Computers in Biology and Medicine, 2022, 卷号: 141, 页码: 1-13 作者:  Liu, Wanli;  Li C(李晨);  Rahaman, Md Mamunur;  Jiang, Tao;  Sun, Hongzan   |  收藏  |  浏览/下载：32/0  |  提交时间：2021/12/20 Cervical cancer  Deep learning  Pap smear  Aspect ratio of cells  Visual transformer  Robustness comparison   Dual Aligned Siamese Dense Regression Tracker 期刊论文  OAI收割 IEEE Transactions on Image Processing, 2022, 卷号: 31, 页码: 3630-3643 作者:  Fan BJ(范保杰);  Zhang, Hui;  Cong Y(丛杨);  Tang YD(唐延东);  Fan HJ(范慧杰)   |  收藏  |  浏览/下载：34/0  |  提交时间：2022/06/08 multi-classifier combination  mutual-guidance  Siamese dense regression tracking  task and feature alignments   Intelligent measurement of morphological characteristics of fish using improved u-net 期刊论文  OAI收割 Electronics (Switzerland), 2021, 卷号: 10, 期号: 12, 页码: 1-17 作者:  Yu C(余创);  Hu ZH(胡祝华);  Han, Bing;  Wang, Peng;  Zhao YC(赵瑶池)   |  收藏  |  浏览/下载：22/0  |  提交时间：2021/06/27 Image segmentation  Intelligent measurement  Precision agriculture  Smart mariculture  U-net