Patent · US Active

Deep multi-magnification networks for multi-class image segmentation

US12260558B2 · kind B2 · utility

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20Claims

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Assignee

Memorial Sloan Kettering Cancer Center · US

Inventors

Thomas Fuchs · Bietigheim-Bissingen, DE
David Joon HO · New York, US

Key dates

Filing date	Oct 3, 2022
Grant date	Mar 25, 2025
Priority date	—
Expiry date	Jun 3, 2043

Classification

Technology area (CPC G)Physics
CPC primaryG06T2219/004
WIPO fieldComputer technology
WIPO sectorElectrical engineering

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.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.