The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 08, 2002

Filed:

Jun. 03, 1994
Applicant:
Inventors:

Robert W. Veltri, Oklahoma City, OK (US);

Kaveh Ashenayi, Tulsa, OK (US);

Ying Hu, Tulsa, OK (US);

Gerard J. O'Dowd, Edmond, OK (US);

Assignee:

Urocor, Inc., Oklahoma City, OK (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 1/518 ;
U.S. Cl.
CPC ...
G06F 1/518 ;
Abstract

A neural network is used in a system to detect abnormalities in cells, including cancer in bladder tissue cells. The system has an image analysis system for generating data representative of imaging variables from an image of stained cells. The set of data is provided to a neural network which has been trained to detect abnormalities from known tissue cells with respect to the data from the same set of imaging variables. A conventional sigmoid-activated neural network, or alternatively, a hybrid neural network having a combination of sigmoid, gaussian and sinusoidal activation functions may be utilized. The trained neural network applies a set of weight factors obtained during training to the data to classify the unknown tissue cell as normal or abnormal.


Find Patent Forward Citations

Veltri, Robert. (2002). Neural network for cell image analysis for identification of abnormal cells (U.S. Patent No. 6463438). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/6463438

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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