Scheduled System Maintenance:
On Monday, April 27th, IEEE Xplore will undergo scheduled maintenance from 1:00 PM - 3:00 PM ET (17:00 - 19:00 UTC). No interruption in service is anticipated.
By Topic

Abnormal tissue detection in computer tomography images using artificial neural networks

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Olmez, T. ; Electr. & Electron. Eng. Fac., Istanbul Tech. Univ., Istanbul, Turkey ; Yazgan, E.

Artificial neural network solutions have been applied to numerous image applications in the recent past. This paper describes a method to detect abnormal tissues in computer tomography (CT) head images by using an artificial neural network. We use a three-layer perceptron: An input layer with 882 nodes, one hidden layer with 30 nodes and an output layer with 3 nodes. The output nodes represent the bone, soft and abnormal tissue. The input layer of network does not directly receive the data from the original image. Two processes are applied to the pixels in subimage which has 7×7 pixels, and the results are fed to the input layer of the network. These processes provide necessary information for the tissue identification.

Published in:

Engineering in Medicine and Biology Society, 1992 14th Annual International Conference of the IEEE  (Volume:3 )

Date of Conference:

Oct. 29 1992-Nov. 1 1992