Method and system for artificial intelligence based medical image segmentation

US11393229B2 · kind B2 · utility

Assignee

• Siemens Healthcare Limited · DE

Inventors

• Shaohua Kevin Zhou · Plainsboro, US
• Mingqing Chen · Plainsboro, US
• Hui Ding · Ji'an, CN
• Bogdan Georgescu · Plainsboro, US
• Mehmet Akif Gulsun · Princeton, US
• Tae-Soo Kim · Uiwang-si, KR
• Atilla Peter Kiraly · Plainsboro, US
• Xiaoguang Lu · Plainsboro, US
• Jin-hyeong Park · Princeton, US
• Puneet Sharma · Rahway, US
• Shanhui Sun · Princeton, US
• Daguang Xu · Princeton, US
• Zhoubing Xu · Plainsboro, US
• Yefeng Zheng

Key dates

• Filing date: Nov 24, 2020
• Grant date: Jul 19, 2022
• Expiry date: Dec 18, 2040

Classification

• Technology area (CPC G): Physics
• CPC primary: G16H30/40
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

Methods and systems for artificial intelligence based medical image segmentation are disclosed. In a method for autonomous artificial intelligence based medical image segmentation, a medical image of a patient is received. A current segmentation context is automatically determined based on the medical image and at least one segmentation algorithm is automatically selected from a plurality of segmentation algorithms based on the current segmentation context. A target anatomical structure is segmented in the medical image using the selected at least one segmentation algorithm.