An Adaptable SVM Model for Abnormalities Detection in Chest X-ray Reports

Author:

Iyanda Abimbola Rhoda1,Ogungbe Omolara Aminat1,Aderibigbe Adeniyi Sunday2

Affiliation:

1. Obafemi Awolowo University,Department of Computer Science and Engineering,Ile-Ife,Nigeria

2. Obafemi Awolowo University, Teaching Hospital Complex,Department of Radiology,Ile-Ife,Nigeria

Publisher

IEEE

Reference17 articles.

1. Natural language processing for lines and devices in portable chest x-rays;rubin;AMIA Annual Symposium Proceedings,2010

2. A review on lung boundary detection in chest X-rays

3. Identification of patients with acute lung injury from free-text chest x-ray reports;yetisgen-yildiz;Proceedings of the 2013 Workshop on Biomedical Natural Language Processing,0

4. Can Artificial Intelligence Reliably Report Chest X-Rays?: Radiologist Validation of an Algorithm trained on 1.2 Million X-Rays;putha;ArXiv Preprint,2018

5. Abnormality detection and localization in chest x-rays using deep convolutional neural networks;islam;ArXiv Preprint,2017

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