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:
Nov. 26, 2024

Filed:

Aug. 14, 2021
Applicant:

Steven Frank, Framingham, MA (US);

Inventor:

Steven Frank, Framingham, MA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06T 3/40 (2024.01); G06T 5/70 (2024.01); G06T 7/11 (2017.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); G06T 3/40 (2013.01); G06T 5/70 (2024.01); G06T 7/11 (2017.01); G06T 2207/20021 (2013.01); G06T 2207/20032 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20192 (2013.01); G06T 2207/30024 (2013.01);
Abstract

Accurate tissue segmentation is performed without a priori knowledge of tissue type or other extrinsic information not found within the subject image, and may be combined with classification analysis so that diseased tissue is not only delineated within an image but also characterized in terms of disease type. In various embodiments, a source image is decomposed into smaller overlapping subimages such as square or rectangular tiles, which are sifted based on a visual criterion. The visual criterion may be one or more of image entropy, density, background percentage, or other discriminator. A convolutional neural network produces tile-level classifications that are aggregated to produce a tissue segmentation and, in some embodiments, to classify the source image or a subregion thereof.


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