中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
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上海药物研究所 [33]
近代物理研究所 [20]
长春应用化学研究所 [15]
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期刊论文 [185]
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浏览/检索结果:
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Deep learning radiomics of multimodal ultrasound for classifying metastatic cervical lymphadenopathy into primary cancer sites: a feasibility study
期刊论文
OAI收割
ULTRASCHALL IN DER MEDIZIN, 2023, 页码: 11
作者:
Zhu, Yangyang
;
Meng, Zheling
;
Wu, Hao
;
Fan, Xiao
;
Lv, Wenhao
  |  
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2024/02/22
Multimodal Ultrasound
Metastatic Cervical Lymphadenopathy
Deep Learning
Primary Cancer Sites
Development and validation of an autophagy-related long non-coding RNA prognostic signature for cervical squamous cell carcinoma and endocervical adenocarcinoma
期刊论文
OAI收割
FRONTIERS IN ONCOLOGY, 2022, 卷号: 12
作者:
Zhou, Shuguang
;
Zhang, Weiyu
;
Cao, Wujun
;
Jin, Qinqin
;
Jiang, Xiya
  |  
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2022/12/23
cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC)
long noncoding RNA (lncRNA)
autophagy-related genes (ARGs)
autophagy-related lncRNAs (ARLs)
prognostic signature
immune infiltration
MSMFN: An ultrasound based multi-step modality fusion network for identifying the histologic subtypes of metastatic cervical lymphadenopathy
期刊论文
OAI收割
IEEE Transactions on Medical Imaging, 2022, 页码: 1-13
作者:
Zheling, Meng
;
Yangyang, Zhu
;
Wenjing, Pang
;
Jie, Tian
;
Fang, Nie
  |  
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2023/03/27
Molecular identification, expression pattern, and in-vitro bioactivity analysis of insulin-like growth factor 2 in olive flounder Paralichthys olivaceus
期刊论文
OAI收割
JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2022, 页码: 10
作者:
Jiao, Shuang
;
Tan, Xungang
;
You, Feng
;
Zhang, Shujing
;
Pang, Qiuxiang
  |  
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2023/01/12
aquaculture
flatfish
igf2
proliferation
The pathological risk score: A new deep learning-based signature for predicting survival in cervical cancer
期刊论文
OAI收割
CANCER MEDICINE, 2022, 页码: 13
作者:
Chen, Chi
;
Cao, Yuye
;
Li, Weili
;
Liu, Zhenyu
;
Liu, Ping
  |  
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2022/07/25
cervical cancer
deep learning
disease-free survival
overall survival
whole slide image
Effects of N-6-Methyladenosine Modification on Cancer Progression: Molecular Mechanisms and Cancer Therapy
期刊论文
OAI收割
FRONTIERS IN ONCOLOGY, 2022, 卷号: 12
作者:
Zhu, Yong-fu
;
Wang, Shu-Jie
;
Zhou, Jie
;
Sun, Ye-han
;
Chen, You-mou
  |  
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2022/12/23
RNA modifications
N6-methyladenosine
female malignancies
molecular mechanisms
immunotherapy
Effects of Biomimetic Micropatterned Surfaces on the Adhesion and Morphology of Cervical Cancer Cells
期刊论文
OAI收割
ACS Omega, 2022, 卷号: 7, 期号: 23, 页码: 19913–19919
作者:
Zhang XH(张晓慧)
;
Zhang T(张婷)
;
Liu B(刘斌)
;
Zhang Y(张昀)
;
Ji ZY(姬忠莹)
  |  
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2023/10/31
Sarcopenia is associated with prognosis in patients with esophageal squamous cell cancer after radiotherapy or chemoradiotherapy
期刊论文
OAI收割
BMC Gastroenterology, 2022, 卷号: 22
作者:
Qian,Junchao
;
Si,Youjiao
;
Zhou,Ke
;
Tian,Yu
;
Guo,Qisen
  |  
收藏
  |  
浏览/下载:75/0
  |  
提交时间:2022/05/16
Esophageal squamous cell cancer
Sarcopenia
Body composition
Chemoradiotherapy
Prognosis
Systematic Survey of the Regulatory Networks of the Long Noncoding RNA BANCR in Cervical Cancer Cells br
期刊论文
OAI收割
JOURNAL OF PROTEOME RESEARCH, 2022, 卷号: 21, 期号: 4, 页码: 1137-1152
作者:
Wang, Bing
;
Wang, Min
;
Jia, Shuzhao
;
Li, Tao
;
Yang, Mingkun
  |  
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2024/05/07
long noncoding RNAs (lncRNAs)
BRAF-activated noncoding RNA (BANCR)
quantitative proteomics
cAMP regulatory element binding protein (CREB1)
miR-582-5p
Is the aspect ratio of cells important in deep learning? A robust comparison of deep learning methods for multi-scale cytopathology cell image classification: From convolutional neural networks to visual transformers
期刊论文
OAI收割
Computers in Biology and Medicine, 2022, 卷号: 141, 页码: 1-13
作者:
Liu, Wanli
;
Li C(李晨)
;
Rahaman, Md Mamunur
;
Jiang, Tao
;
Sun, Hongzan
  |  
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2021/12/20
Cervical cancer
Deep learning
Pap smear
Aspect ratio of cells
Visual transformer
Robustness comparison