中国科学院机构知识库网格系统: 检索

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	Non-Magnetic Injectable Implant for Magnetic Field-Driven Thermochemotherapy and Dual Stimuli-Responsive Drug Delivery: Transformable Liquid Metal Hybrid Platform for Cancer Theranostics 期刊论文 OAI收割 SMALL, 2019, 卷号: 15, 期号: 16, 页码: 11 作者: Wang, Dan; Xie, Wensheng; Gao, Qin; Yan, Hao; Zhang, Junxin \| 收藏 \| 浏览/下载：101/0 \| 提交时间：2019/06/14 cancer comprehensive treatment CT images liquid metal magnetic hyperthermia stimulus-responsive drug delivery
	A Segmentation Algorithm for Quantitative Analysis of Heterogeneous Tumors of the Cervix With F-18-FDG PET/CT 期刊论文 OAI收割 IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2015, 卷号: 62, 期号: 10, 页码: 2465-2479 作者: Mu, Wei; Chen, Zhe; Shen, Wei; Yang, Feng; Liang, Ying 收藏 \| 浏览/下载：47/0 \| 提交时间：2015/11/04 Cervical tumor segmentation Fuzzy-C-Means (FCM) improved level set method Positron-emission tomography/computed tomography (PET/CT) images
	Staging of cervical cancer based on tumor heterogeneity characterized by texture features on F-18-FDG PET images 期刊论文 OAI收割 PHYSICS IN MEDICINE AND BIOLOGY, 2015, 卷号: 60, 期号: 13, 页码: 5123-5139 作者: Mu, Wei; Chen, Zhe; Liang, Ying; Shen, Wei; Yang, Feng 收藏 \| 浏览/下载：39/0 \| 提交时间：2015/09/17 cervical cancer PET/CT images tumor segmentation texture analysis cancer staging
	计算机辅助肝外科手术规划中医学图像分割算法研究学位论文 OAI收割工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2012 作者: 张星收藏 \| 浏览/下载：127/0 \| 提交时间：2015/09/02 计算机辅助手术规划腹部CT图像肝脏分割肝肿瘤分割肝脏血管分割与分析 Computer-aided surgery planning Abdominal CT images Liver segmentation Liver tumor segmentation Liver vessel segmentation and analysis
	MGRG-morphological gradient based 3D region growing algorithm for airway tree segmentation in image guided intervention therapy (EI CONFERENCE) 会议论文 OAI收割 2nd International Symposium on Bioelectronics and Bioinformatics, ISBB 2011, November 3, 2011 - November 5, 2011, Suzhou, China 作者: Zhang T.; Gao X. 收藏 \| 浏览/下载：45/0 \| 提交时间：2013/03/25 Accurate surgical planning and guidance plays an important role in successful implementation of image guided intervention. In interventional lung cancer diagnosis and treatments precise segmentation of airway trees from lung CT images provides crucial visualization for preoperative planning and intraoperative guidance to avoid major trachea injury. While 3D region growing can segment main the parts of an airway tree (trachea left and right main bronchus as well as bronchi) the method fails at bronchiole segmentation and is not robust. Mathematical morphology is an anatomical detective. In this paper we propose a morphological gradient based region growing (MGRG) algorithm to overcome the intensity inhomogeneity and improve the robustness of 3D region growing on extraction of bronchioles. The MGRG algorithm is validated using lung CT images and results show that it is able to segment bronchioles and outperforms the traditional region growing method on airway tree segmentation. 2011 IEEE.
	The ensemble deep learning model for novel COVID-19 on CT images 期刊论文 OAI收割 Applied Soft Computing 作者: Zhou, Tao; Lu, Huiling; Yang, Zaoli; Qiu, Shi; Huo, Bingqiang \| 收藏 \| 浏览/下载：14/0 \| 提交时间：2020/12/01 COVID-19 Lung CT images Deep learning Ensemble learning