Automatic medical image interpretation: State of the art and future directions
Automatic Natural language interpretation of medical images is an emerging field of Artificial
Intelligence (AI). The task combines two fields of AI; computer vision and natural language …
Intelligence (AI). The task combines two fields of AI; computer vision and natural language …
A survey on deep learning and explainability for automatic report generation from medical images
Every year physicians face an increasing demand of image-based diagnosis from patients, a
problem that can be addressed with recent artificial intelligence methods. In this context, we …
problem that can be addressed with recent artificial intelligence methods. In this context, we …
Cgmvqa: A new classification and generative model for medical visual question answering
F Ren, Y Zhou - IEEE Access, 2020 - ieeexplore.ieee.org
Medical images are playing an important role in the medical domain. A mature medical
visual question answering system can aid diagnosis, but there is no satisfactory method to …
visual question answering system can aid diagnosis, but there is no satisfactory method to …
Automatic generation of medical imaging diagnostic report with hierarchical recurrent neural network
Medical images are widely used in the medical domain for the diagnosis and treatment of
diseases. Reading a medical image and summarizing its insights is a routine, yet …
diseases. Reading a medical image and summarizing its insights is a routine, yet …
ImageCLEF 2019: Multimedia retrieval in medicine, lifelogging, security and nature
This paper presents an overview of the ImageCLEF 2019 lab, organized as part of the
Conference and Labs of the Evaluation Forum-CLEF Labs 2019. ImageCLEF is an ongoing …
Conference and Labs of the Evaluation Forum-CLEF Labs 2019. ImageCLEF is an ongoing …
Hierarchical deep multi-modal network for medical visual question answering
Abstract Visual Question Answering in Medical domain (VQA-Med) plays an important role
in providing medical assistance to the end-users. These users are expected to raise either a …
in providing medical assistance to the end-users. These users are expected to raise either a …
A survey on biomedical image captioning
J Pavlopoulos, V Kougia… - Proceedings of the …, 2019 - aclanthology.org
Image captioning applied to biomedical images can assist and accelerate the diagnosis
process followed by clinicians. This article is the first survey of biomedical image captioning …
process followed by clinicians. This article is the first survey of biomedical image captioning …
[PDF][PDF] Overview of ImageCLEFmedical 2023–caption prediction and concept detection
J Rückert, A Ben Abacha, AG Seco de Herrera… - Working Notes of the …, 2023 - ceur-ws.org
Abstract The ImageCLEFmedical 2023 Caption task on caption prediction and concept
detection follows similar challenges held from 2017–2022. The goal is to extract Unified …
detection follows similar challenges held from 2017–2022. The goal is to extract Unified …
Overview of ImageCLEF 2018: Challenges, datasets and evaluation
This paper presents an overview of the ImageCLEF 2018 evaluation campaign, an event
that was organized as part of the CLEF (Conference and Labs of the Evaluation Forum) …
that was organized as part of the CLEF (Conference and Labs of the Evaluation Forum) …
Overview of ImageCLEFmedical 2022–caption prediction and concept detection
J Rückert, A Ben Abacha… - CEUR Workshop …, 2022 - repository.essex.ac.uk
The 2022 ImageCLEFmedical caption prediction and concept detection tasks follow similar
challenges that were already run from 2017–2021. The objective is to extract Unified …
challenges that were already run from 2017–2021. The objective is to extract Unified …