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https://hdl.handle.net/20.500.13091/2910
Title: | Deep Learning-Based Brain Hemorrhage Detection in CT Reports | Authors: | Bayrak, Gıyaseddin Toprak, M. Şakir Ganiz, Murat Can Kodaz, Halife Koç, Ural |
Keywords: | Brain Hemorrhage Deep Learning NLP Radiology Computational linguistics Computerized tomography Deep learning Medical informatics Natural language processing systems Radiation Brain hemorrhage Critical case Deep learning Domain specific Fine tuning Haemorrage Hemorrhage detection Language model Learning classifiers Radiology reports Radiology brain hemorrhage human natural language processing research x-ray computed tomography Deep Learning Humans Intracranial Hemorrhages Natural Language Processing Research Report Tomography, X-Ray Computed |
Issue Date: | 2022 | Publisher: | IOS Press BV | Abstract: | Radiology reports can potentially be used to detect critical cases that need immediate attention from physicians. We focus on detecting Brain Hemorrhage from Computed Tomography (CT) reports. We train a deep learning classifier and observe the effect of using different pre-trained word representations along with domain-specific fine-tuning. We have several contributions. Firstly, we report the results of a large-scale classification model for brain hemorrhage detection from Turkish radiology reports. Second, we show the effect of fine-tuning pre-trained language models using domain-specific data on the performance. We conclude that deep learning models can be used for detecting brain Hemorrhage with reasonable accuracy and fine-tuning language models using domain-specific data to improve classification performance. © 2022 European Federation for Medical Informatics (EFMI) and IOS Press. | Description: | Norwegian Centre for E-health Research 32nd Medical Informatics Europe Conference, MIE 2022 -- 27 May 2022 through 30 May 2022 -- 179490 |
URI: | https://doi.org/10.3233/SHTI220609 https://hdl.handle.net/20.500.13091/2910 |
ISBN: | 9781643682846 | ISSN: | 0926-9630 |
Appears in Collections: | Mühendislik ve Doğa Bilimleri Fakültesi Koleksiyonu PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collections Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections |
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SHTI-294-SHTI220609.pdf | 150.83 kB | Adobe PDF | View/Open |
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