Work

Weakly and semi-supervised segmentation of uterus using coarse annotations in MRI

Year: 2026

Type: article

Source: Medical Engineering & Physics

DOI: 10.1088/1873-4030/ae5964

Authors: Ping Lou, Wei Huang, Jie Ying, Haima Yang, Le Fu

Institutions: University of Shanghai for Science and Technology, East China Normal University, Tongji University, Shanghai First Maternity and Infant Hospital

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funder: Science and Technology Innovation Plan Of Shanghai Science and Technology Commission

OpenAlex ID: W7147367449

FWCI:

Cites: 33

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