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Fig. 1 | BMC Medical Informatics and Decision Making

Fig. 1

From: Multi-label annotation of text reports from computed tomography of the chest, abdomen, and pelvis using deep learning

Fig. 1

Complete workflow of this study. Radiology reports extracted from our health system were deidentified and the findings sections were isolated. The reports were analyzed by an RBA and an attention-guided RNN to classify each report for 5 different outcomes (one or more of four disease states or normal) per organ system (lungs/pleura, liver/gallbladder, kidneys/ureters). A separate RBA and RNN was used for each organ system

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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