Call for Participation: 7th edition of the Medical Image Captioning Task @ ImageCLEF 2023

Website: ImageCLEFmedical Caption | ImageCLEF / LifeCLEF – Multimedia Retrieval in CLEF 

Contact: imageclefcaption@googlegroups.com 

Interpreting and summarizing the insights gained from medical images such as radiology output is a time-consuming task that involves highly trained experts and often represents a bottleneck in clinical diagnosis pipelines. Consequently, there is a considerable need for automatic methods that can approximate this mapping from visual information to condensed textual descriptions. 

The ImageCLEFmedical Caption 2023 consists of two subtasks:

• Concept Detection Task: 

The first step to automatic image captioning and scene understanding is identifying the presence and location of relevant concepts in a large corpus of medical images. Based on the visual image content, this subtask provides the building blocks for the scene understanding step by identifying the individual components from which captions are composed. The concepts can be further applied for context-based image and information retrieval purposes.

• Caption Prediction Task: 

On the basis of the concept vocabulary detected in the first subtask as well as the visual information of their interaction in the image, participating systems are tasked with composing coherent captions for the entirety of an image. In this step, rather than the mere coverage of visual concepts, detecting the interplay of visible elements is crucial for strong performance.

Preliminary Schedule

• 19 December 2022: Registration opens

• 6 February 2023: Release of the training and validation sets

• 14 March 2023: Release of the test sets

• 22 April 2023: Registration closes

• 10 May 2023: Run submission deadline

• 17 May 2023: Release of the processed results by the task organizers

• 5 June 2023: Submission of participant papers [CEUR-WS]

• 23 June 2023: Notification of acceptance

• 7 July 2023: Camera ready copy of participant papers and extended lab overviews [CEUR-WS]

• 18-21 September 2023: CLEF 2023, Thessaloniki, Greece

Organizers:

• Johannes Rückert, University of Applied Sciences and Arts Dortmund, Germany

• Asma Ben Abacha, Microsoft, USA

• Alba García Seco de Herrera,University of Essex, UK

• Christoph M. Friedrich, University of Applied Sciences and Arts Dortmund, Germany

• Henning Müller, University of Applied Sciences Western Switzerland, Sierre, Switzerland

• Louise Bloch, University of Applied Sciences and Arts Dortmund, Germany

• Raphael Brüngel, University of Applied Sciences and Arts Dortmund, Germany

• Ahmad Idrissi-Yaghir, University of Applied Sciences and Arts Dortmund, Germany

• Henning Schäfer, University of Applied Sciences and Arts Dortmund, Germany