QQ客服 官方微博 反馈留言

浏览/检索结果: 共4条，第1-4条 帮助 限定条件 内容类型：会议论文     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Development and validation of a radiomics-based method for macrovascular invasion prediction in hepatocellular carcinoma with prognostic implication 会议论文 美国圣地亚哥, 2019年2月20日 作者:  Wei Jingwei;  Fu Sirui;  Zhang Shuaitong;  Zhang Jie;  Gu Dongsheng 收藏  |  浏览/下载：73/0  |  提交时间：2019/05/08 hepatocellular carcinoma  macrovascular invasion  prognosis  computed tomography  radiomics  prediction   Radiomics Analysis on T2-MR Image to Predict Lymphovascular Space Invasion in Cervical Cancer 会议论文 San Diego, USA, 2019-2 作者:  Wang, Shuo;  Chen, Xi;  Liu, Zhenyu;  Wu, Qingxia;  Zhu, Yongbei 收藏  |  浏览/下载：85/0  |  提交时间：2019/04/30 Intelligent Planning for Laser Refractive Surgeries 会议论文 作者:  Wang, Wei;  Yue, Yong;  Elsheikh, Ahmed;  Bao, Fangjun 收藏  |  浏览/下载：2/0  |  提交时间：2019/11/26 Corneal ablation  Error of predictions  Intelligent planning  Laser in situ keratomileusis  Preoperative diagnosis  Refractive correction  Refractive surgery  Theoretical formula   MGRG-morphological gradient based 3D region growing algorithm for airway tree segmentation in image guided intervention therapy (EI CONFERENCE) 会议论文 2nd International Symposium on Bioelectronics and Bioinformatics, ISBB 2011, November 3, 2011 - November 5, 2011, Suzhou, China Gao D.; Gao X.; Ni C.; Zhang T. 收藏  |  浏览/下载：35/0  |  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.