机构

• 金属研究所 [1]
• 长春光学精密机械与物... [1]
• 昆明植物研究所 [1]
• 自动化研究所 [1]

采集方式

• OAI收割 [4]

内容类型

• 期刊论文 [3]
• 会议论文 [1]

发表日期

• 2023 [1]
• 2021 [1]
• 2013 [1]
• 2012 [1]

学科主题

筛选

浏览/检索结果: 共4条，第1-4条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 RUNX1-Regulated Signaling Pathways in Ovarian Cancer 期刊论文  OAI收割 BIOMEDICINES, 2023, 卷号: 11, 期号: 9, 页码: 2357 作者:  Chen,Yuanzhi;  He,Yingying;  Liu,Shubai   |  收藏  |  浏览/下载：12/0  |  提交时间：2024/05/09 Runt-related transcription factor 1 (RUNX1)  ovarian cancer  apoptosis  signaling pathways  clinical therapeutic target  GROWTH-FACTOR  TRANSCRIPTION FACTORS  STEM-CELLS  RUNX1  STAT3  FAMILY  ACTIVATION  APOPTOSIS  LEUKEMIA  SURVIVAL   Deep Learning-Based Prediction of Future Extrahepatic Metastasis and Macrovascular Invasion in Hepatocellular Carcinoma 期刊论文  OAI收割 JOURNAL OF HEPATOCELLULAR CARCINOMA, 2021, 卷号: 8, 页码: 1065-1076 作者:  Fu, Sirui;  Pan, Meiqing;  Zhang, Jie;  Zhang, Hui;  Tang, Zhenchao   |  收藏  |  浏览/下载：33/0  |  提交时间：2021/11/03 aggressive disease progression  deep learning radiomics  clinical factors  high-risk  risk prediction   Association of Helicobacter pylori babA2 with peptic ulcer disease and gastric cancer 期刊论文  OAI收割 WORLD JOURNAL OF GASTROENTEROLOGY, 2013, 卷号: 19, 期号: 26, 页码: 4242-4251 作者:  Chen MoYe;  He CaiYun;  Meng Xue   |  收藏  |  浏览/下载：28/0  |  提交时间：2021/02/02 HELICOBACTER-PYLORI INFECTION  ANTIGEN-BINDING ADHESIN  DUODENAL-ULCER  VIRULENCE FACTORS  CLINICAL-RELEVANCE  BABA2 GENOTYPES  TURKISH PATIENTS  CAGA  PREVALENCE  VACA  Helicobacter pylori  babA2  Peptic ulcer  Gastric cancer  Risk   Application of adaptive enhancement means in head and neck CR image (EI CONFERENCE) 会议论文  OAI收割 2012 3rd International Conference on Information Technology for Manufacturing Systems, ITMS 2012, September 8, 2012 - September 9, 2012, Qingdao, China Zhang M.-H.; Zhang Y.-Y. 收藏  |  浏览/下载：38/0  |  提交时间：2013/03/25 Digital CR of head and neck overcomes the disadvantage of regular X-ray radiography  which can not reveal bone and soft tissue position deficiency in one exposing  and reduces the Xray radiation dose. Meanwhile  various factors cause the decline of image quality  and images must be enhanced in order to meet demands of doctor's clinical diagnosis. The general enhancement algorithms don't consider body's structure differences and density characteristics. A new adaptive CR enhancement algorithm was proposed in this article  and head and neck CR images were processed with this method and compared with linear unsharp masking method. The experiment proves that the details of CR image enhanced were abundant and enhanced CR image had good visual effect  SNR was high  as well as detail variance /background variance (DV/BV) indicating that this algorithm is suitable for head and neck CR medical images. (2012) Trans Tech Publications  Switzerland.