Meeting Banner
Abstract #4351

A deep learning-based liver tumor segmentation algorithm in enhanced multi–phase MRI images

Meng Dou1,2, Ying Zhao 3, Tao Lin3, Yu Yao1,2, and Ailian Liu3
1Chengdu institute of computer application, Chinese academy of sciences, Chengdu, China, 2University of Chinese Academy of Sciences, Beijing, China, 3Department of Radiology, First Affiliated Hospital of Dalian Medical University, Dalian, China

Synopsis

Keywords: Machine Learning/Artificial Intelligence, Machine Learning/Artificial IntelligenceIn this paper, we propose a deep learning-based liver tumor segmentation algorithm in enhanced multi-phase MRI images. The experimental results show that the proposed method can segment liver and tumor in enhanced multi-phase MRI images with a smaller resource occupation, and outperforms the comparison method.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.

Keywords