Acquiring skill at medical image inspection: learning localized in early visual processes

1997 ◽  
Author(s):  
Paul T. Sowden ◽  
Ian R. L. Davies ◽  
Penny Roling ◽  
Simon J. Watt
Keyword(s):  
Medical Image ◽  
Visual Processes ◽  
Image Inspection

Eye tracking reveals expertise-related differences in the time-course of medical image inspection and diagnosis

2020 ◽  
Vol 7 (05) ◽  
Author(s):  
Tad T. Brunyé ◽  
Trafton Drew ◽  
Kathleen F. Kerr ◽  
Hannah Shucard ◽  
Donald L. Weaver ◽  
...  
Keyword(s):  
Eye Tracking ◽  
Medical Image ◽  
Time Course ◽  
Image Inspection

scholarly journals A Survey on Applications of Artificial Intelligence in Fighting Against COVID-19

2022 ◽  
Vol 54 (8) ◽  
pp. 1-32
Author(s):  
Jianguo Chen ◽  
Kenli Li ◽  
Zhaolei Zhang ◽  
Keqin Li ◽  
Philip S. Yu
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Drug Development ◽  
Medical Image ◽  
Vaccine Development ◽  
Scientific Research ◽  
Image Inspection ◽  
Potential Applications ◽  
Detection And Diagnosis ◽  
Applications Of Ai

The COVID-19 pandemic caused by the SARS-CoV-2 virus has spread rapidly worldwide, leading to a global outbreak. Most governments, enterprises, and scientific research institutions are participating in the COVID-19 struggle to curb the spread of the pandemic. As a powerful tool against COVID-19, artificial intelligence (AI) technologies are widely used in combating this pandemic. In this survey, we investigate the main scope and contributions of AI in combating COVID-19 from the aspects of disease detection and diagnosis, virology and pathogenesis, drug and vaccine development, and epidemic and transmission prediction. In addition, we summarize the available data and resources that can be used for AI-based COVID-19 research. Finally, the main challenges and potential directions of AI in fighting against COVID-19 are discussed. Currently, AI mainly focuses on medical image inspection, genomics, drug development, and transmission prediction, and thus AI still has great potential in this field. This survey presents medical and AI researchers with a comprehensive view of the existing and potential applications of AI technology in combating COVID-19 with the goal of inspiring researchers to continue to maximize the advantages of AI and big data to fight COVID-19.

A Comparative Study of Ant and Genetic Algorithms in Digital Mammography

2018 ◽  
pp. 194-200
Author(s):  
J. Magelin Mary ◽  
Chitra K. ◽  
Y. Arockia Suganthi
Keyword(s):  
Genetic Algorithm ◽  
Image Processing ◽  
Medical Image ◽  
Medical Image Processing ◽  
Processing Technique ◽  
Input Image ◽  
Image Processing Technique ◽  
Computational Time ◽  
Image Mining ◽  
The Individual

Image processing technique in general, involves the application of signal processing on the input image for isolating the individual color plane of an image. It plays an important role in the image analysis and computer version. This paper compares the efficiency of two approaches in the area of finding breast cancer in medical image processing. The fundamental target is to apply an image mining in the area of medical image handling utilizing grouping guideline created by genetic algorithm. The parameter using extracted border, the border pixels are considered as population strings to genetic algorithm and Ant Colony Optimization, to find out the optimum value from the border pixels. We likewise look at cost of ACO and GA also, endeavors to discover which one gives the better solution to identify an affected area in medical image based on computational time.

Sign in / Sign up

Export Citation Format

Share Document