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.
Patent No.:
Date of Patent:
Mar. 25, 2025
Filed:
Oct. 03, 2022
Applicant:
Memorial Sloan Kettering Cancer Center, New York, NY (US);
Inventors:
Thomas Fuchs, New York, NY (US);
David Joon Ho, New York, NY (US);
Assignee:
Memorial Sloan-Kettering Cancer Center, New York, NY (US);
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06F 18/214 (2023.01); G06K 9/62 (2022.01); G06N 3/04 (2023.01); G06N 3/045 (2023.01); G06T 7/11 (2017.01); G06T 19/00 (2011.01); G06V 10/25 (2022.01);
U.S. Cl.
CPC ...
G06T 7/11 (2017.01); G06F 18/214 (2023.01); G06N 3/045 (2023.01); G06T 7/0012 (2013.01); G06T 19/00 (2013.01); G06V 10/25 (2022.01); G06T 2207/30068 (2013.01); G06T 2219/004 (2013.01);
Abstract
Described herein are Deep Multi-Magnification Networks (DMMNs). The multi-class tissue segmentation architecture processes a set of patches from multiple magnifications to make more accurate predictions. For the supervised training, partial annotations may be used to reduce the burden of annotators. The segmentation architecture with multi-encoder, multi-decoder, and multi-concatenation outperforms other segmentation architectures on breast datasets, and can be used to facilitate pathologists' assessments of breast cancer in margin specimens.