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:
Apr. 11, 2023

Filed:

Feb. 17, 2020
Applicant:

H. Lee Moffitt Cancer Center and Research Institute, Inc., Tampa, FL (US);

Inventors:

Mark Cassidy Cridlin Lloyd, Tampa, FL (US);

Marilyn M. Bui, Tampa, FL (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/80 (2017.01); G16H 30/20 (2018.01); G16H 50/30 (2018.01); G16H 50/70 (2018.01); G16H 10/40 (2018.01); G16H 15/00 (2018.01); G16H 30/40 (2018.01); G06V 20/69 (2022.01); G01N 33/50 (2006.01);
U.S. Cl.
CPC ...
G16H 30/20 (2018.01); G01N 33/5091 (2013.01); G06T 7/80 (2017.01); G06V 20/693 (2022.01); G06V 20/698 (2022.01); G16H 10/40 (2018.01); G16H 15/00 (2018.01); G16H 30/40 (2018.01); G16H 50/30 (2018.01); G16H 50/70 (2018.01); G06T 2207/10056 (2013.01); G06T 2207/30068 (2013.01);
Abstract

Digital pathology is the concept of capturing digital images from glass microscope slides in order to record, visualize, analyze, manage, report, share and diagnose pathology specimens. The present disclosure is directed to a desktop slide scanner, which enables pathologists to scan slides at a touch of a button. Included is a workflow for reliable imaging, diagnosis, quantification, management, and sharing of a digital pathology library. Also disclosed herein is an analysis framework that provides for pattern recognition of biological samples represented as digital images to automatically quantitatively score normal cell parameters against disease state parameters. The framework provides a pathologist with an opportunity to see what the algorithm is scoring, and simply agree, or edit the result. This framework offers a new tool to enhance the precision of the current standard of care.


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