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000002259 005__ 20181220113735.0
000002259 022__ $$a1613-0073
000002259 037__ $$aCONFERENCE
000002259 245__ $$aOverview of ImageCLEF 2017 tuberculosis task :$$bpredicting tuberculosis type and drug resistances
000002259 260__ $$aDublin, Ireland$$b11-14 September 2017$$c2017
000002259 269__ $$a2017-09
000002259 300__ $$a23 p.
000002259 506__ $$avisible
000002259 520__ $$9eng$$aImageCLEF is the image retrieval task of the Conference and Labs of the Evaluation Forum (CLEF). ImageCLEF has historically focused on the multimodal and language-independent retrieval of images. Many tasks are related to image classification and the annotation of image data as well as the retrieval of images. The tuberculosis task was held for the first time in 2017 and had a very encouraging participation with 9 groups submitting results to these very challenging tasks. Two tasks were proposed around tuberculosis: (1) the classification of the cases into five types of tuberculosis and (2) the detection of drug resistances among tuberculosis cases. Many different techniques were used by the participants ranging from Deep Learning to graph-based approaches and best results were obtained by a large variety of approaches. The prediction of tuberculosis types had relatively good performance but the detection of drug resistances remained a very difficult task. More research into this seems necessary.
000002259 592__ $$aHEG-VS
000002259 592__ $$bInstitut Informatique de gestion
000002259 592__ $$cEconomie et Services
000002259 65017 $$aInformatique
000002259 6531_ $$9eng$$atuberculosis
000002259 6531_ $$9eng$$acomputed tomography
000002259 6531_ $$9eng$$aimage classification
000002259 6531_ $$9eng$$adrug resistance
000002259 6531_ $$9eng$$a3D data analysis
000002259 655_7 $$afull paper
000002259 700__ $$aDicente Cid, Yashin$$uUniversity of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis) ; University of Geneva, Switzerland
000002259 700__ $$aKalinovsky, Alexander$$uUnited Institute of Informatics Problems, Minsk, Belarus
000002259 700__ $$aLiauchuk, Vitali$$uUnited Institute of Informatics Problems, Minsk, Belarus
000002259 700__ $$aKovalev, Vassili$$uUnited Institute of Informatics Problems, Minsk, Belarus
000002259 700__ $$aMüller, Henning$$uUniversity of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis) ; University of Geneva, Switzerland
000002259 711__ $$aCLEF 2017 working Notes$$cDublin, Ireland$$d11/09/2017 / 14/09/2017
000002259 773__ $$tProceedings of the CLEF 2017 working notes
000002259 85641 $$uhttp://ceur-ws.org/Vol-1866/invited_paper_1.pdf$$zOnline version
000002259 8564_ $$s1274809$$uhttps://hesso.tind.io/record/2259/files/Dicente_2017_Overview_of_the_ImageCLEF_2017_tuberculosis.pdf
000002259 8564_ $$s2031718$$uhttps://hesso.tind.io/record/2259/files/Dicente_2017_Overview_of_the_ImageCLEF_2017_tuberculosis.pdf?subformat=pdfa$$xpdfa
000002259 909CO $$ooai:hesso.tind.io:2259$$pGLOBAL_SET
000002259 906__ $$aGREEN
000002259 950__ $$aI1
000002259 980__ $$aconference