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Applicant:
Indian Institute of Technology (IIT) Patna 
Author:
S. Jagdale, M. H. Kolekar, and U. P. Khot 
Corresponding Authors:
M H. Kolekar 
DOI #:
https://doi.org/10.1016/j.procs.2015.03.150 
Title:
Smart Sensing Using Bayesian Network for Computer Aided Diagnostic Systems 
Journal:
Procedia Computer Science  
Year:
2015 
Volume:
45 
Page:
762-769 
Keywords:
Mammogram, Bayesian Network, Kurtosis, Variance 
Abstract:
Mammogram breast cancer images have the ability to assist physicians in detecting diseases caused by abnormal growth. Output images from the sensors are more likely not optimal for display or further processing mainly because of noise. In order to prevent these problems, image processors should accompany image sensors. Typically, two separate chips for sensing and processing are integrated together Introduction of such smart sensing in computer aided diagnostic system will assist physicians in their daily work. This paper presents the advantage of smart sensing and also presents the use of current mode CMOS active pixel sensors in smart sensing for low power and fast processing applications. We have used Bayesian Network to diagnose based on symptom. 
Entered by:
Venkata Dantham on 2020-08-04 
 
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