Browsing by Author "Ganiz, Murat Can"
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Conference Object Citation - Scopus: 4Deep Learning-Based Brain Hemorrhage Detection in Ct Reports(IOS Press BV, 2022) Bayrak, Gıyaseddin; Toprak, M. Şakir; Ganiz, Murat Can; Kodaz, Halife; Koç, UralRadiology 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.

