QQ客服 官方微博 反馈留言

浏览/检索结果: 共5条，第1-5条 帮助 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 A Computed Tomography-Based Radiomic Prognostic Marker of Advanced High-Grade Serous Ovarian Cancer Recurrence: A Multicenter Study 期刊论文 FRONTIERS IN ONCOLOGY, 2019, 卷号: 9, 页码: 12 作者:  Wei, Wei;  Liu, Zhenyu;  Rong, Yu;  Zhou, Bin;  Bei, Yan 收藏  |  浏览/下载：54/0  |  提交时间：2019/07/12 advanced high-grade serous ovarian cancer  CT  prognosis  radiomics  recurrence   A Computed Tomography-Based Radiomic Prognostic Marker of Advanced High-Grade Serous Ovarian Cancer Recurrence: A Multicenter Study 期刊论文 FRONTIERS IN ONCOLOGY, 2019, 卷号: 9 作者:  Wei, Wei;  Liu, Zhenyu;  Rong, Yu;  Zhou, Bin;  Bei, Yan 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/30 advanced high-grade serous ovarian cancer  CT  prognosis  radiomics  recurrence   Preoperative omental metastasis-related maximum standardized fluorine-18-fluorodeoxyglucose uptake value can predict chemosensitivity and recurrence in advanced high-grade serous ovarian cancer patients 期刊论文 NUCLEAR MEDICINE COMMUNICATIONS, 2018, 卷号: 39, 期号: 8 作者:  Sun, Yuyun;  Liu, Shuai;  Feng, Zheng;  Cheng, Jingyi;  Lu, Linjun 收藏  |  浏览/下载：26/0  |  提交时间：2019/12/05 advanced high-grade serous ovarian cancer  chemosensitivity  F-18-FDG PET  CT  omental metastasis-to-primary tumor ratio  prognosis   Tumor-to-background ratios of the maximum standardized uptake value could not indicate the prognosis of advanced high-grade serous ovarian cancer patients 期刊论文 NUCLEAR MEDICINE COMMUNICATIONS, 2018, 卷号: 39, 期号: 4 作者:  Liu, Shuai;  Ju, Xingzhu;  Feng, Zheng;  Wen, Hao;  Xu, Junyan 收藏  |  浏览/下载：8/0  |  提交时间：2019/12/05 F-18-FDG PET  CT  high-grade serous ovarian cancer  prognosis  tumor-to-background ratio   Deep learning provides a new computed tomography-based prognostic biomarker for recurrence prediction in high-grade serous ovarian cancer 期刊论文 Radiotherapy and Oncology, 2018 作者:  Shuo Wang;  Zhenyu Liu;  Yu Rong;  Bin Zhou;  Yan Bai 收藏  |  浏览/下载：5/0  |  提交时间：2019/02/28 Deep  learning  High-grade  serous  ovarian  cancer  Recurrence  Prognosis  Computed  tomography  Artificial  intelligence  Semi-supervised  learning  Auto  encoder  Unsupervised  learning