中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共122条，第1-10条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
Stereo Visual Servoing Control of a Soft Endoscope for Upper Gastrointestinal Endoscopic Submucosal Dissection 期刊论文
Micromachines, 2024, 卷号: 15, 期号: 2, 页码: 276
作者:  Chen, Jian;  Wang, Shuai;  Zhao, Qingxiang;  Huang, Wei;  Chen, Mingcong;  Hu, Jian;  Wang, Yihe;  Liu, Hongbin
Adobe PDF(4985Kb)  |  收藏  |  浏览/下载：11/2  |  提交时间：2024/05/28
Acquiring Weak Annotations for Tumor Localization in Temporal and Volumetric Data 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 318-330
作者:  Yu-Cheng Chou;  Bowen Li;  Deng-Ping Fan;  Alan Yuille;  Zongwei Zhou
Adobe PDF(4008Kb)  |  收藏  |  浏览/下载：28/8  |  提交时间：2024/04/23
Weak annotation, detection, localization, segmentation, colonoscopy, abdomen  
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 483-513
作者:  Wei-Chien Wang;  Euijoon Ahn;  Dagan Feng;  Jinman Kim
Adobe PDF(2691Kb)  |  收藏  |  浏览/下载：19/5  |  提交时间：2024/04/23
Self-supervised learning (SSL), contrastive learning, deep learning, medical image analysis, computer vision  
Deep Gradient Learning for Efficient Camouflaged Object Detection 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 1, 页码: 92-108
作者:  Ge-Peng Ji;  Deng-Ping Fan;  Yu-Cheng Chou;  Dengxin Dai;  Alexander Liniger;  Luc Van Gool
Adobe PDF(5723Kb)  |  收藏  |  浏览/下载：31/9  |  提交时间：2024/04/23
Camouflaged object detection (COD)  object gradient  soft grouping  efficient model  image segmentation  
Video Polyp Segmentation: A Deep Learning Perspective 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 6, 页码: 531-549
作者:  Ge-Peng Ji;  Guobao Xiao;  Yu-Cheng Chou;  Deng-Ping Fan;  Kai Zhao;  Geng Chen;  Luc Van Gool
Adobe PDF(9520Kb)  |  收藏  |  浏览/下载：21/3  |  提交时间：2024/04/23
Video polyp segmentation (VPS)  dataset  self-attention  colonoscopy  abdomen  
A radiomics and genomics-derived model for predicting metastasis and prognosis in colorectal cancer 期刊论文
CARCINOGENESIS, 2024, 页码: 11
作者:  Li, Xue;  Wu, Meng;  Wu, Min;  Liu, Jie;  Song, Li;  Wang, Jiasi;  Zhou, Jun;  Li, Shilin;  Yang, Hang;  Zhang, Jun;  Cui, Xinwu;  Liu, Zhenyu;  Zeng, Fanxin
收藏  |  浏览/下载：33/0  |  提交时间：2024/03/26
Automatic polyp segmentation via image-level and surrounding-level context fusion deep neural network 期刊论文
Engineering Applications of Artificial Intelligence, 2023, 卷号: 123, 期号: 2023, 页码: 106168
作者:  Wang, Changwei;  Xu, Rongtao;  Xu, Shibiao;  Meng, Weiliang;  Zhang, Xiaopeng
Adobe PDF(2131Kb)  |  收藏  |  浏览/下载：202/42  |  提交时间：2023/04/27
Context information fusion  Colonoscopy  Polyp segmentation  Image-level and surrounding-level context  
Deep learning model based on contrast-enhanced ultrasound for predicting early recurrence after thermal ablation of colorectal cancer liver metastasis 期刊论文
EUROPEAN RADIOLOGY, 2022, 页码: 11
作者:  Zhao, Qin-xian;  He, Xue-lei;  Wang, Kun;  Cheng, Zhi-gang;  Han, Zhi-yu;  Liu, Fang-yi;  Yu, Xiao-ling;  Hui, Zhong;  Yu, Jie;  Chao, An;  Liang, Ping
收藏  |  浏览/下载：144/0  |  提交时间：2023/03/20
Thermal ablation  Colorectal neoplasms  Ultrasound  Deep learning  Recurrence  
PD-L1 Aptamer-Functionalized Metal-Organic Framework Nanoparticles for Robust Photo-Immunotherapy against Cancer with Enhanced Safety 期刊论文
ANGEWANDTE CHEMIE-INTERNATIONAL EDITION, 2022, 页码: 9
作者:  Zhang, Jingfang;  Li, Wenzhe;  Qi, Yafei;  Wang, Guorong;  Li, Lele;  Jin, Zhengyu;  Tian, Jie;  Du, Yang
收藏  |  浏览/下载：265/0  |  提交时间：2023/02/22
DNA Nanotechnology  Immunotherapy  Metal-Organic Frameworks  PD-L1 Aptamer  Spherical Nucleic Acids (SNAs)  
Deep learning with whole slide images can improve the prognostic risk stratification with III colorectal cancer 期刊论文
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2022, 卷号: 221, 页码: 11
作者:  Sun, Caixia;  Li, Bingbing;  Wei, Genxia;  Qiu, Weihao;  Li, Danyi;  Li, Xiangzhao;  Liu, Xiangyu;  Wei, Wei;  Wang, Shuo;  Liu, Zhenyu;  Tian, Jie;  Liang, Li
收藏  |  浏览/下载：380/0  |  提交时间：2022/07/25
Chemotherapy duration  Whole slide images  Deep learning  Colorectal cancer  Prognosis