scholarly journals Digital pattern recognition-based image analysis quantifies immune infiltrates in distinct tissue regions of colorectal cancer and identifies a metastatic phenotype

2013 ◽  
Vol 109 (6) ◽  
pp. 1618-1624 ◽  
Author(s):  
H K Angell ◽  
N Gray ◽  
C Womack ◽  
D I Pritchard ◽  
R W Wilkinson ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Pattern Recognition ◽  
Image Analysis ◽  
Metastatic Phenotype ◽  
Digital Pattern

A Survey on Solar Image Segmentation Techniques

2014 ◽  
Vol 945-949 ◽  
pp. 1899-1902
Author(s):  
Yuan Yuan Fan ◽  
Wei Jiang Li ◽  
Feng Wang
Keyword(s):  
Image Processing ◽  
Pattern Recognition ◽  
Image Analysis ◽  
Image Segmentation ◽  
Image Retrieval ◽  
Fundamental Issue ◽  
Solar Image ◽  
Segmentation Methods

Image segmentation is one of the basic problems of image processing, also is the first essential and fundamental issue in the solar image analysis and pattern recognition. This paper summarizes systematically on the image segmentation techniques in the solar image retrieval and the recent applications of image segmentation. Then the merits and demerits of each method are discussed in this paper, in this way we can combine some methods for image segmentation to reach the better effects in astronomy. Finally, according to the characteristics of the solar image itself, the more appropriate image segmentation methods are summed up, and some remarks on the prospects and development of image segmentation are presented.

Digital image analysis around isotropic points for photoelastic pattern recognition

2015 ◽  
Vol 54 (8) ◽  
pp. 081209 ◽  
Author(s):  
Kamadi Vara Naga Surendra ◽  
K. R. Yogendra Simha
Keyword(s):  
Pattern Recognition ◽  
Image Analysis ◽  
Digital Image ◽  
Digital Image Analysis

Abstract PO-001: Deep learning-based image analysis of the histological Glasgow Microenvironment Score in patients with colorectal cancer

2021 ◽  
Author(s):  
Christopher J. Bigley ◽  
John Waller ◽  
Alison Bigley ◽  
Karin Oien ◽  
Joanne Edwards ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Image Analysis ◽  
Deep Learning
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