@inproceedings{59b48484608f467b8606239da50e3d96,
title = "Intelligent Data Extraction System for RNFL Examination Reports",
abstract = "Glaucoma is the collective term for a group of diseases that cause damage to the optic nerve. Retina nerve fiber layer (RNFL) thickness is an indicative reference for evaluating the progression of glaucoma. In this demo paper, we proposed an intelligent data extraction system for RNFL examination report, which can extract the RNFL thickness data from the report photo. The system consists of two procedures viz. target area segmentation and structure data extraction. This system can reduce the amount of data that needs to be entered manually, thus reducing the manual workload in electronic health records (EHRs) system. The demo video of the proposed system is available at: https://doi.org/10.6084/m9.figshare.20098865.v1.",
keywords = "Computer vision, Electronic health records, Glaucoma, Image processing",
author = "Chunjun Hua and Yiqiao Shi and Menghan Hu and Yue Wu",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 2nd CAAI International Conference on Artificial Intelligence, CICAI 2022 ; Conference date: 27-08-2022 Through 28-08-2022",
year = "2022",
doi = "10.1007/978-3-031-20503-3\_45",
language = "英语",
isbn = "9783031205026",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "537--542",
editor = "Lu Fang and Daniel Povey and Guangtao Zhai and Tao Mei and Ruiping Wang",
booktitle = "Artificial Intelligence - Second CAAI International Conference, CICAI 2022, Revised Selected Papers",
address = "德国",
}