scholarly journals Acquiring conjunctive concepts: When and why does feature frequency affect feature identification?

1983 ◽  
Vol 11 (4) ◽  
pp. 407-414
Author(s):  
Thomas C. Toppino ◽  
Nancy M. Bucher
Keyword(s):  
Feature Identification ◽  
Conjunctive Concepts ◽  
Feature Frequency

scholarly journals Intratumoral CXCR5+CD8+T associates with favorable clinical outcomes and immunogenic contexture in gastric cancer

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Jieti Wang ◽  
Ruochen Li ◽  
Yifan Cao ◽  
Yun Gu ◽  
Hanji Fang ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Overall Survival ◽  
T Cells ◽  
Epstein Barr Virus ◽  
Effector Memory ◽  
Feature Identification ◽  
Barr Virus ◽  
T Cell Infiltration ◽  
Epstein Barr ◽  
Gastric Cancer Patients

AbstractStudies that examined an association between CD8+T and prognosis in gastric cancer are inconsistent, and a distinct population of CXCR5+CD8+T associated with better overall survival has been reported among various malignancies. Here, we show that the abundance of intratumoral CXCR5+CD8+T cells is associated with better overall survival in patients with gastric cancer. Patients with TNM II + III gastric cancer with higher intratumoral CXCR5+CD8+T cell infiltration are more likely to benefit from adjuvant chemotherapy. Microsatellite-unstable and Epstein–Barr virus positive tumors are enriched with CXCR5+CD8+T cells. Gastric cancer infiltrating CXCR5+CD8+T cells represent a specific subtype of stem-like CD8+T with effector memory feature. Identification of the clinical significance and phenotype of gastric cancer infiltrating CXCR5+CD8+T provides a roadmap for patient stratification and trials of targeted therapies.

Online Biological Literature MRI Image Classification Study

2013 ◽  
Vol 694-697 ◽  
pp. 2336-2340
Author(s):  
Yun Feng Yang ◽  
Feng Xian Tang
Keyword(s):  
Recognition Performance ◽  
Recognition Rate ◽  
Image Features ◽  
Feature Identification ◽  
Identification Method ◽  
Image Library ◽  
Text Information ◽  
Correct Recognition Rate ◽  
Biological Literature ◽  
Mri Image

In order to construct a certain standard structure MRI (Magnetic resonance imaging) image library by extracting and collating unstructured literature data information, an identification method of the image and text information fusion is proposed. The method makes use of PHOW (Pyramid Histogram Of Words) to represent image features, combines with the word frequency characteristics of the embedded icon note (text), and then uses posterior multiplication fusion method to complete the classification and identification of the online biological literature MRI image. The experimental results show that this method has better correct recognition rate and better recognition performance than feature identification method only based on PHOW or text. The study can offer use for reference to construct other structured professional database from online literature.

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