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:
May. 10, 2005

Filed:

Nov. 23, 2001
Applicants:

Kunio Doi, Willowbrook, IL (US);

Masahito Aoyama, Hiroshima, JP;

Qiang LI, Clarendon Hills, IL (US);

Inventors:

Kunio Doi, Willowbrook, IL (US);

Masahito Aoyama, Hiroshima, JP;

Qiang Li, Clarendon Hills, IL (US);

Assignee:

University of Chicago, Chicago, IL (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K009/00 ; G06K009/48 ; G06K009/40 ;
U.S. Cl.
CPC ...
Abstract

An automated computerized scheme for determination of the likelihood of malignancy in pulmonary nodules. The present invention includes steps of obtaining at least one computed tomography medical image of a pulmonary nodule in determining if the pulmonary nodule is malignant based on the examination of seven patient or image features. The method can be implemented when instructions are loaded into a computer to program the computer. The significance of employing seven patient or image features is that statistically, seven features are the most practical based on the unique implementation of statistical analysis. Out of the seven features that are now analyzed to determine if a pulmonary nodule is malignant, these features are selected to optimize the accuracy of the diagnosis of a pulmonary nodule. Through a unique sampling scheme, different embodiments of the present invention utilize different combinations of features to optimize the accuracy of the method of the present invention.


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