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 …
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 …
Overview of the ImageCLEFmed 2019 concept detection task
O Pelka, CM Friedrich… - Proceedings of CLEF …, 2019 - arodes.hes-so.ch
Résumé This paper describes the ImageCLEF 2019 Concept Detection Task. This is the 3rd
edition of the medical caption task, after it was rst proposed in ImageCLEF 2017. Concept …
edition of the medical caption task, after it was rst proposed in ImageCLEF 2017. Concept …
Clinical natural language processing with deep learning
The emergence and proliferation of electronic health record (EHR) systems has
incrementally resulted in large volumes of clinical free text documents available across …
incrementally resulted in large volumes of clinical free text documents available across …
[PDF][PDF] AUEB NLP Group at ImageCLEFmed Caption 2019.
We present the systems that AUEB's NLP Group used to participate in the ImageCLEFmed
2019 Caption task. The goal of this task is to automatically select medical concepts related to …
2019 Caption task. The goal of this task is to automatically select medical concepts related to …
A survey on biomedical image captioning
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] ImageSem at ImageCLEFmed Caption 2019 Task: a Two-stage Medical Concept Detection Strategy.
Z Guo, X Wang, Y Zhang, J Li - CLEF (Working Notes), 2019 - ceur-ws.org
This paper presents the participation of the Image Semantics group (ImageSem) of the
Institute of Medical Information at the ImageCLEFmed Caption task, which was launched by …
Institute of Medical Information at the ImageCLEFmed Caption task, which was launched by …
Medical image labelling and semantic understanding for clinical applications
X Wang, Z Guo, Y Zhang, J Li - … : 10th International Conference of the CLEF …, 2019 - Springer
Semantic concept detection contributes to machine understanding and learning from
medical images; it also plays an important role in image reading and image-assisted …
medical images; it also plays an important role in image reading and image-assisted …
Experiences from the ImageCLEF medical retrieval and annotation tasks
H Müller, J Kalpathy-Cramer… - … Retrieval Evaluation in …, 2019 - Springer
The medical tasks in ImageCLEF have been run every year from 2004–2018 and many
different tasks and data sets have been used over these years. The created resources are …
different tasks and data sets have been used over these years. The created resources are …