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A Competitive Deep Neural Network Approach for the ImageCLEFmed Caption 2020 Task

2020-07-11 09:30:13
Marimuthu Kalimuthu, Fabrizio Nunnari, Daniel Sonntag
arXiv_CV
       
Abstract

The aim of this task is to develop a system that automatically labels radiology images with relevant medical concepts. We describe our Deep Neural Network (DNN) based approach for tackling this problem. On the challenge test set of 3,534 radiology images, our system achieves an F1 score of 0.375 and ranks high (12th among all the systems that were successfully submitted to the challenge), whereby we only rely on the provided data sources and do not use external medical knowledge or ontologies, or pretrained models from other medical image repositories or application domains.

Abstract (translated)

URL

https://arxiv.org/abs/2007.14226

PDF

https://arxiv.org/pdf/2007.14226.pdf

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