Work

Difficulty-Aware Meta-learning for Rare Disease Diagnosis

Year: 2020

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-030-59710-8_35

Authors: Xiaomeng Li, Lequan Yu, Yueming Jin, Chi-Wing Fu, Lei Xing, Pheng-Ann Heng

Institutions: Chinese University of Hong Kong, Stanford Medicine, Stanford University, Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology

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: green

Funders: National Natural Science Foundation of China, Innovation and Technology Fund

Awards: G1984067115, G2599398688, G504901269, AI-X: Artificial Intelligence for Chest X-ray Analysis: Towards Large-scale Data Screening and Manipulation

OpenAlex ID: W3092017801

FWCI: 4.292

Cites: 14

Cited by: 74

Related to: 10