中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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浏览/检索结果: 共7条,第1-7条 帮助

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Mutation in CDC42 Gene Set as a Response Biomarker for Immune Checkpoint Inhibitor Therapy 期刊论文  OAI收割
CANCER MEDICINE, 2025, 卷号: 14, 期号: 1, 页码: 13
作者:  
Wang, Kun;  Zhang, Yingying;  Su, Zhaoming;  Wang, Bei;  Zhou, Yuanyang
  |  收藏  |  浏览/下载:8/0  |  提交时间:2025/04/01
TG468: a text graph convolutional network for predicting clinical response to immune checkpoint inhibitor therapy 期刊论文  OAI收割
BRIEFINGS IN BIOINFORMATICS, 2024, 卷号: 25, 期号: 2, 页码: 15
作者:  
Wang, Kun;  Shi, Jiangshan;  Tong, Xiaochu;  Qu, Ning;  Kong, Xiangtai
  |  收藏  |  浏览/下载:8/0  |  提交时间:2024/08/22
A meta-analysis of the watch-and-wait strategy versus total mesorectal excision for rectal cancer exhibiting complete clinical response after neoadjuvant chemoradiotherapy 期刊论文  OAI收割
WORLD JOURNAL OF SURGICAL ONCOLOGY, 2021, 卷号: 19, 期号: 1, 页码: 12
作者:  
Yu, Guilin;  Lu, Wenqing;  Jiao, Zhouguang;  Qiao, Jun;  Ma, Shiyang
  |  收藏  |  浏览/下载:46/0  |  提交时间:2022/06/15
Altered Antioxidant Defenses in Drug-Naive First Episode Patients with Schizophrenia Are Associated with Poor Treatment Response to Risperidone: 12-Week Results from a Prospective Longitudinal Study 期刊论文  OAI收割
NEUROTHERAPEUTICS, 2021, 页码: 9
作者:  
Li, Xi Rong;  Xiu, Mei Hong;  Guan, Xiao Ni;  Wang, Yue Chan;  Wang, Jun
  |  收藏  |  浏览/下载:64/0  |  提交时间:2021/04/30
The predictive power of tumor mutational burden in lung cancer immunotherapy response is influenced by patients' sex 期刊论文  OAI收割
INTERNATIONAL JOURNAL OF CANCER, 2019, 卷号: 145, 期号: 10, 页码: 2840-2849
作者:  
Wang, Shixiang;  Zhang, Jing;  He, Zaoke;  Liu, Xue-Song;  Wu, Kai
  |  收藏  |  浏览/下载:23/0  |  提交时间:2020/12/21
Methylenetetrahydrofolate reductase C677T polymorphism predicts response and time to progression to gemcitabine-based chemotherapy for advanced non-small cell lung cancer in a Chinese Han population 期刊论文  OAI收割
JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE B, 2013, 卷号: 14
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  |  收藏  |  浏览/下载:7/0  |  提交时间:2020/10/26
The application of adaptive enhancement algorithm based on gray entropy in mammary gland CR image (EI CONFERENCE) 会议论文  OAI收割
2012 2nd International Conference on Consumer Electronics, Communications and Networks, CECNet 2012, April 21, 2012 - April 23, 2012, Three Gorges, China
Zhang M.-H.; Zhang Y.-Y.
收藏  |  浏览/下载:34/0  |  提交时间:2013/03/25
Mammary gland is composed entirely of soft tissue with approximate density  therefore mammary gland CR medicine radiation image presents a low contrast  and slight difference changes may be a manifestation of tumor  so it is necessary to enhance mammary gland CR image to improve its visual quality in order to meet the demands of doctor's clinical diagnosis. However the general enhancement algorithms over enhance the contrast and noise  due to image details lost  aiming at the defects  a mammary gland CR medicine image adaptive enhancement arithmetic based on image gray entropy is put forward. The arithmetic adapts dizzy image to magnify selected spatial frequency response in order to enhance the edge details of mammary gland CR images. It can adjust weighted factor K according to image gray characteristics namely pixel gray entropy. Experiments results demonstrate that mammary gland CR image enhanced by the algorithm has abundant details and high signal-to-noise ratio  moreover  CR image enhanced has good visual effect. So the method is effective and fit for enhancing CR medical radiation image edge details. 2012 IEEE.