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Khresmoi – multilingual semantic search of medical text and images

Aswani, Niraj and Beckers, Thomas and Birngruber, Erich and Boyer, Célia and Burner, Andreas and Bystroň, Jakub and Choukri, Khalid and Cruchet, Sarah and Cunningham, Hamish and Dědek, Jan and Dolamic, Ljiljana and Donner, René and Dungs, Sebastian and Eggel, Ivan and Foncubierta-Rodríguez, Antonio and Fuhr, Norbert and Funk, Adam and Garcia Seco De Herrera, Alba and Gaudinat, Arnaud and Georgiev, Georgi and Gobeill, Julien and Goeuriot, Lorraine and Gómez, Paz and Greenwood, Mark and Gschwandtner, Manfred and Hanbury, Allan and Hajič, Jan and Hlaváčová, Jaroslava and Holzer, Markus and Jones, Gareth and Jordan, Blanca and Jordan, Matthias and Kaderk, Klemens and Kainberger, Franz and Kelly, Liadh and Kriewel, Sascha and Kritz, Marlene and Langs, Georg and Lawson, Nolan and Markonis, Dimitrios and Martinez, Ivan and Momtchev, Vassil and Masselot, Alexandre and Mazo, Hélène and Müller, Henning and Palotti, Jo ao and Pecina, Pavel and Pentchev, Konstantin and Peychev, Deyan and Pletneva, Natalia and Pottecherc, Diana and Roberts, Angus and Ruch, Patrick and Sachs, Alexander and Samwald, Matthias and Schneller, Priscille and Stefanov, Veronika and Tinte, Miguel A and Ure v sová, Zdeňka and Vargas, Alejandro and Vishnyakova, Dina (2013) Khresmoi – multilingual semantic search of medical text and images. In: MedInfo 2013 14th world congress on medical and health informatics, 2013-08 - ?, Copenhagen, Denmark.

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Abstract

The Khresmoi project is developing a multilingual multimodal search and access system for medical and health information and documents. This scientific demonstration presents the current state of the Khresmoi integrated system, which includes components for text and image annotation, semantic search, search by image similarity and machine translation. The flexibility in adapting the system to varying requirements for different types of medical information search is demonstrated through two instantiations of the system, one aimed at medical professionals in general and the second aimed at radiologists. The key innovations of the Khresmoi system are the integration of multiple software components in a flexible scalable medical search system, the use of annotation cycles including manual correction to improve semantic search, and the possibility to do large scale visual similarity search on 2D and 3D (CT, MR) medical images.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: MedInfo 2013 proceedings of the 14th world congress on medical and health informatics
Uncontrolled Keywords: medical image search, medical information search location:
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Elements
Date Deposited: 07 Jul 2021 09:13
Last Modified: 07 Jul 2021 10:15
URI: http://repository.essex.ac.uk/id/eprint/22237

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