Work

Multi-source multi-task meta-learning with task-oriented distribution alignment for gastric cancer analysis in CT images

Year: 2025

Type: article

Source: Expert Systems with Applications

DOI: 10.1016/j.eswa.2025.130490

Authors: Yongtao Zhang, Hongwei Yu, Ning Yuan, Yiyao Liu, Yingpeng Xie, Huang Chen, Yu Ren, Jixin Luan, Kuan Lv, Tianfu Wang, Lei Dong, Jing Qin, Linlin Shen, Guolin Ma, Baiying Lei

Institutions: Shenzhen University, China-Japan Friendship Hospital, Changzhi Medical College, Hong Kong Polytechnic University

Language: English

Topic: Domain Adaptation and Few-Shot Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: Health Commission of Shanxi Province, National Natural Science Foundation of China, Beijing Municipal Science and Technology Commission, Innovation and Technology Fund, Science, Technology and Innovation Commission of Shenzhen Municipality, Guangzhou Science and Technology Program key projects, China-Japan Friendship Hospital, Shenzhen Science and Technology Innovation Program

Awards: G111381495, G1376321832, G3100196131, Clinically Applicable AI-empowered System for Diagnosis of Congenital Heart Disease in Infants, G3614213546, G3735303753, G4610408840, G5983694183, G6940066789, G7041006821, G8322775900

OpenAlex ID: W4416675392

FWCI: 0.249

Cites: 27

Cited by: 1

Related to: 10