Overview of the ImageCLEF 2017 Tuberculosis Task - Predicting Tuberculosis Type and Drug Resistances

@inproceedings{Cid2017OverviewOT,
  title={Overview of the ImageCLEF 2017 Tuberculosis Task - Predicting Tuberculosis Type and Drug Resistances},
  author={Yashin Dicente Cid and Alexander Kalinovsky and Vitali Liauchuk and Vassili Kovalev and Henning M{\"u}ller},
  booktitle={CLEF},
  year={2017}
}
ImageCLEF 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… CONTINUE READING
Highly Cited
This paper has 23 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 15 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 20 references

Find - ing and classifying tuberculosis types for a targeted treatment : MedGIFTUPB participation in ImageCLEFtuberculosis (

L. D. Stefan, Y. Dicente Cid, O. Jimenez-Del-Toro, B. Ionescu, H. Müller
2017

Similar Papers

Loading similar papers…