Intelligent Recognition Technology for Medical Laboratory Report Images Based on Deep Learning

In the medical field, the accurate identification and utilization of laboratory report information is crucial for enhancing the efficiency and accuracy of diagnosis and treatment. This study employs deep learning technology to systematically research and develop techniques for extracting information from medical laboratory reports. We designed and implemented a series of algorithms that effectively convert image-based laboratory reports into structured data through layout analysis, text detection, text recognition, and table recognition. Experimental results show that the proposed methods achieve high levels of accuracy, significantly enhancing the automation of laboratory report information processing. This provides substantial technical support for medical institutions in handling large volumes of laboratory report data.