MEDIAEVAL 2018, MediaEval Benchmarking Initiative for Multimedia Evaluation Workshop, 29-31 October 2018, Sophia-Antipolis, France
The Medico: Multimedia Task focuses on developing an efficient framework for predicting and classifying abnormalities in endoscopic images of gastrointestinal (GI) tract. We present the HCMUS Team's approach, which employs a combination of Residual Neural Network and Faster R - CNN model to classify endoscopic images. We submit multiple runs with different modifications of the parameters in our combined model. Our methods show potential results through experiments.
Type:
Conference
City:
Sophia-Antipolis
Date:
2018-10-19
Department:
Data Science
Eurecom Ref:
5759
Copyright:
CEUR
