Work

Efficient few-shot medical image segmentation via self-supervised variational autoencoder

Year: 2025

Type: article

Source: Medical Image Analysis

DOI: 10.1016/j.media.2025.103637

Authors: Yanjie Zhou, Feng Zhou, Fengjun Xi, Yong Liu, Yun Peng, David E. Carlson, Liyun Tu

Institutions: Beijing University of Posts and Telecommunications, Capital Medical University, Beijing Tian Tan Hospital, Beijing Children’s Hospital, Duke University

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: National Natural Science Foundation of China, Ministry of Science and Technology of the People's Republic of China, Natural Science Foundation of Beijing Municipality

Awards: G4008516288, G6205654904, G6738617283, G777474116

OpenAlex ID: W4410733625

FWCI: 2.369

Cites: 65

Cited by: 10

Related to: 10