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Federated Active Learning for Multicenter Collaborative Disease Diagnosis
Xing Wu
*
, Jie Pei
, Cheng Chen
, Yimin Zhu
, Jianjia Wang
, Quan Qian
, Jian Zhang
, Qun Sun
, Yike Guo
*
Corresponding author for this work
Office of the Vice-President (Research and Development)
Department of Computer Science
Research output
:
Contribution to journal
›
Journal article
›
peer-review
33
Citations (Scopus)
Overview
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Keyphrases
Disease Diagnosis
100%
Active Learning
100%
Segmentation Problem
28%
Labeled Data
28%
Classification Task
28%
Active Learning Methods
28%
Collaborative Diagnosis
28%
Uncertain Data
14%
Medical Imaging
14%
State-of-the-art Techniques
14%
HyPer
14%
Popular
14%
Privacy Protection
14%
Deep Learning Methods
14%
Medical Experts
14%
Sampling Strategy
14%
Privacy Model
14%
Gastrointestinal Diseases
14%
Learning Systems
14%
F1 Score
14%
COVID-19 Diagnosis
14%
Data Efficiency
14%
Medical Institutions
14%
Data Diversity
14%
Hybrid Sampling
14%
Accuracy Score
14%
Model Generalization
14%
Kvasir Dataset
14%
Centralized Learning
14%
Large-scale Annotation
14%
Computer-aided Diagnosis System
14%
Task-agnostic
14%
Computer Science
Active Learning
100%
Segmentation Task
22%
Classification Task
22%
Experimental Result
11%
Medical Imaging
11%
Deep Learning Method
11%
Learning System
11%
Privacy Protection
11%
Annotation
11%
Discriminator
11%
Aided Diagnosis
11%
Hybrid Sampling
11%
COVID-19
11%