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Overview of ImageCLEF 2018: Challenges, Datasets and Evaluation [chapter]

Bogdan Ionescu, Henning Müller, Mauricio Villegas, Alba García Seco de Herrera, Carsten Eickhoff, Vincent Andrearczyk, Yashin Dicente Cid, Vitali Liauchuk, Vassili Kovalev, Sadid A. Hasan, Yuan Ling, Oladimeji Farri (+8 others)
2018 Lecture Notes in Computer Science  
other sources) about daily activities understanding and moment retrieval, and 4) a pilot task on visual question answering where systems are tasked with answering medical questions.  ...  In 2018, the 16th edition of ImageCLEF ran three main tasks and a pilot task: 1) a caption prediction task that aims at predicting the caption of a figure from the biomedical literature based only on the  ...  Other CLEF labs linked to ImageCLEF, in particular the medical task, are: CLEFeHealth [14] that deals with processing methods and resources to enrich difficult-to-understand eHealth text and the BioASQ  ... 
doi:10.1007/978-3-319-98932-7_28 fatcat:aehcejex5babrn4jpl6qsfdiye

Medical image modality classification using discrete Bayesian networks

Jacinto Arias, Jesus Martínez-Gómez, Jose A. Gámez, Alba G. Seco de Herrera, Henning Müller
2016 Computer Vision and Image Understanding  
In this paper we propose a complete pipeline for medical image modality classification focused on the application of discrete Bayesian network classifiers.  ...  The medical task has run at ImageCLEF since 2004, with many changes between different editions [6] .  ...  The tasks organized over the years by Image-CLEF 1 [6] have provided an evaluation forum and framework for evaluating the state of the art in biomedical image retrieval.  ... 
doi:10.1016/j.cviu.2016.04.002 fatcat:5z7hdsimfbf5nmfkrdgkp6vbmi

Κατηγοριοποίηση βιοϊατρικών εικόνων με βάση τα χαρακτηριστικά κειμένου

Βασίλειος Δημητρίου Αμανατιάδης
2018
Biomedical images are useful for a variety of tasks, such as research, education and medical decision making.  ...  Taking into account the increasing volume of scientific discoveries, the filtering of relevant images for a specific task becomes more and more difficult.  ...  Biomedical images are useful for a variety of tasks, such as research, education and medical decision making.  ... 
doi:10.26262/heal.auth.ir.298466 fatcat:uux3wxy4wnb27jg3km76tdfk3e

Implicit Entity Networks: A Versatile Document Model

Andreas Spitz
2019
Of course, this overload is even greater in professions that handle the creation or extraction of information and knowledge, such as journalists, lawyers, researchers, clerks, or medical professionals.  ...  For a medical context and the interaction of drugs with diseases, a similar case could be made.  ...  S D In this chapter, we have taken a closer look at the capabilities of implicit networks for entity retrieval tasks.  ... 
doi:10.11588/heidok.00026328 fatcat:2vhgwwoxxvhglgutnreykuvcja