BARF: A new direct and cross-based binary residual feature fusion with uncertainty-aware module for medical image classification

标题
BARF: A new direct and cross-based binary residual feature fusion with uncertainty-aware module for medical image classification
作者
关键词
Medical image classification, Fusion model, Deep learning, Early fusion, Uncertainty quantification, Monte Carlo dropout
出版物
INFORMATION SCIENCES
Volume 577, Issue -, Pages 353-378
出版商
Elsevier BV
发表日期
2021-07-06
DOI
10.1016/j.ins.2021.07.024

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