Abstract. This paper presents an overview of the inaugural edition of the ImageCLEF 2018 Medical Domain Visual Question Answering. (VQA-Med) task.

This paper presents an overview of the inaugural edition of the ImageCLEF 2018 Medical Domain Visual Question Answering (VQA-Med) task, a pilot task ...

Visual Question Answering is a new and exciting problem that combines natural language processing and computer vision techniques.

23 сент. 2018 г. · tasked with answering the question based on the visual image content. This paper presents an overview of the VQA-Med task at ImageCLEF 2018.

Overview of ImageCLEF 2018 Medical Domain Visual Question Answering Task [Paper]; UMass at ImageCLEF Medical Visual Question Answering (Med-VQA) 2018 Task [ ...

This paper presents an overview of the Medical Visual Ques- tion Answering task (VQA-Med) at ImageCLEF 2019. Participating sys- tems were tasked with answering ...

Overview of ImageCLEF 2018 Medical Domain Visual Question Answering Task, booktitle = Working Notes of CLEF 2018 - Conference and Labs of the Evaluation Forum.

For the 2018 edition, ImageCLEF organises 3 main tasks with a global objective of benchmarking lifelogging summarization and retrieval, bio-medical image ...

Medical visual question answering (Med-VQA) is a machine learning task that aims to create a system that can answer natural language questions based on given ...

This paper presents an overview of the inaugural edition of the ImageCLEF 2018 Medical Domain Visual Question Answering (VQA-Med) task, a pilot task ...