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Deep Regression via Multi-Channel Multi-Modal Learning for Pneumonia Screening
2020
IEEE Access
Pneumonia screening is one of the most crucial steps in the pneumonia diagnosing system, which can improve the work efficiency of the radiologists and prevent delayed treatments. In this paper, we propose a deep regression framework for automatic pneumonia screening, which jointly learns the multi-channel images and multi-modal information (i.e., clinical chief complaints, age, and gender) to simulate the clinical pneumonia screening process. We demonstrate the advantages of the framework in
doi:10.1109/access.2020.2990423
fatcat:7ghq7p2doffildk7cnmsqhii44