Digital image analysis in breast pathology—from image processing techniques to artificial intelligence

2018 ◽  
Vol 194 ◽  
pp. 19-35 ◽  
Author(s):  
Stephanie Robertson ◽  
Hossein Azizpour ◽  
Kevin Smith ◽  
Johan Hartman
2020 ◽  
Vol 10 (2) ◽  
pp. 447 ◽  
Author(s):  
Alexandros Arjmand ◽  
Markos G. Tsipouras ◽  
Alexandros T. Tzallas ◽  
Roberta Forlano ◽  
Pinelopi Manousou ◽  
...  

Liver disease has been targeted as the fifth most common cause of death worldwide and tends to steadily rise. In the last three decades, several publications focused on the quantification of liver fibrosis by means of the estimation of the collagen proportional area (CPA) in liver biopsies obtained from digital image analysis (DIA). In this paper, early and recent studies on this topic have been reviewed according to these research aims: the datasets used for the analysis, the employed image processing techniques, the obtained results, and the derived conclusions. The purpose is to identify the major strengths and “gray-areas” in the landscape of this topic.


2014 ◽  
Vol 889-890 ◽  
pp. 1107-1110
Author(s):  
Han Ming Cai ◽  
Pei Yao Wang ◽  
Xiao Mei Song

Thread features of the traditional measuring method mainly adopts working gauge measurement, due to limitations in the traditional thread features measurement accuracy is relatively low, the efficiency is low, the cost is high. The thread features detection method based on digital image processing techniques using CCD to obtain basic image of thread, processing the thread image, extracting thread outline, calculating thread features through the computer, improves the efficiency, saves the cost.


Author(s):  
Stefan Oprea ◽  
Costin Marinescu ◽  
Ioan Lita ◽  
Mariana Jurianu ◽  
Daniel Alexandru Visan ◽  
...  

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