Conferences
10–14 September 2018, Avignon, France
ImageCLEF 2018
ImageCLEF 2018 is an evaluation campaign that is being organized as part of the CLEF initiative labs. The campaign offers several research tasks that welcome participation from teams around the world. The results of the campaign appear in the working notes proceedings, published by CEUR Workshop Proceedings (CEUR-WS.org). Selected contributions among the participants, will be invited for publication in the following year in the Springer Lecture Notes in Computer Science (LNCS) together with the annual lab overviews.
For the 2018 edition, ImageCLEF organises 3 main tasks with a global objective of benchmarking lifelogging summarization and retrieval, bio-medical image concept detection and caption prediction and tuberculosis severity score prediction from CT images; and a pilot task on medical visual question answering.
Target communities of the tasks involve (but are not limited to): information retrieval (text, vision, audio, multimedia, social media, sensor data), machine learning (including deep learning), data mining, natural language processing, image/video processing, remote sensing, with special attention to the challenges of multi-modality, multi-linguality, and interactive search.
For the 2018 edition, ImageCLEF organises 3 main tasks with a global objective of benchmarking lifelogging summarization and retrieval, bio-medical image concept detection and caption prediction and tuberculosis severity score prediction from CT images; and a pilot task on medical visual question answering.
Target communities of the tasks involve (but are not limited to): information retrieval (text, vision, audio, multimedia, social media, sensor data), machine learning (including deep learning), data mining, natural language processing, image/video processing, remote sensing, with special attention to the challenges of multi-modality, multi-linguality, and interactive search.
