Work

Advancing Volumetric Medical Image Segmentation via Global-Local Masked Autoencoders

Year: 2025

Type: article

Source: IEEE Transactions on Medical Imaging

DOI: 10.1109/tmi.2025.3569782

Authors: Jiaxin Zhuang, Luyang Luo, Qiong Wang, Mingxiang Wu, Lin Luo, Hao Chen

Institutions: Hong Kong University of Science and Technology, Peking University, Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, ShenZhen People’s 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

Funders: Innovation and Technology Commission - Hong Kong, Innovation and Technology Fund, Shenzhen Science and Technology Innovation Program

Awards: Research and Development of an AI-enhanced System for COVID-19 Screening, Triaging, Quantitative Diagnosis and Longitudinal Monitoring from Multi-modality Data, G158119756, G3479424927

OpenAlex ID: W4410359301

FWCI: 5.75

Cites: 50

Cited by: 16

Related to: 10