DeepSSR: a deep learning system for structured recognition of text images from unstructured paper-based medical reports.

ABSTRACT:

Background

Complete electronic health records (EHRs) are not often available, because information barriers are caused by differences in the level of informatization and the type of the EHR system. Therefore, we aimed to develop a deep learning system [deep learning system for structured recognition of text images from unstructured paper-based medical reports (DeepSSR)] for structured recognition of text images from unstructured paper-based medical reports (UPBMRs) to help physicians solve the data-sharing problem.

Methods

UPBMR images were firstly preprocessed through binarization, image correction, and image segmentation. Next, the table area was detected with a lightweight network (i.e., the proposed YOLOv3-MobileNet model). In addition, the text of the table area was dete

SUBMITTER: Liu H 

PROVIDER: S-EPMC9358495 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature