Ensemble of Texture Features for finding abnormalities in the Gastro-Intestinal Tract
Автор: MediaEval Community
Загружено: 2017-12-12
Просмотров: 42
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Presenter: Muhammad Atif Tahir
Paper: http://ceur-ws.org/Vol-1984/Mediaeval...
Authors: Syed Sadiq Ali Naqvi, Shees Nadeem, Muhammad Zaid, Muhammad Atif Tahir
Abstract: An endoscopy is a procedure in which a doctor uses specialized instruments to view and operate on the internal organs and vessels of the body. This paper aims to predict the diseases and abnormalities in the Gastro-Intestinal Tract, using multimedia data. It differs from other projects in the medical domain because it does not use medical imaging like X-rays, CT scan etc. The dataset, which comprises of 4000 images, is provided by MediaEval Benchmarking Initiative for Multimedia Evaluation. The data is collected during traditional colonoscopy procedures. Techniques from the fields of multimedia content analysis (to extract information from the visual data) and machine learning (for classification) have been used. On testing data, 94% accuracy and an MCC of 0.73 is achieved using logistic regression and ensemble on different features.
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