Search results

• 2020

  Labelling Imaging Datasets on the Basis of Neuroradiology Reports: A Validation Study

  Wood, D., Kafiabadi, S., Al Busaidi, A., Guilhem, E., Lynch, J., Townend, M., Montvila, A., Siddiqui, J., Gadapa, N., Benger, M., Barker, G., Ourselin, S., Cole, J. & Booth, T., 2020, Interpretable and Annotation-Efficient Learning for Medical Image Computing - 3rd International Workshop, iMIMIC 2020, 2nd International Workshop, MIL3iD 2020, and 5th International Workshop, LABELS 2020, Held in Conjunction with MICCAI 2020, Proceedings. Cardoso, J., Silva, W., Cruz, R., Van Nguyen, H., Roysam, B., Heller, N., Henriques Abreu, P., Pereira Amorim, J., Isgum, I., Patel, V., Zhou, K., Jiang, S., Le, N., Luu, K., Sznitman, R., Cheplygina, V., Abbasi, S., Mateus, D. & Trucco, E. (eds.). Springer, Cham, p. 254-265 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12446 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

  • Images 100%
  • Performance Model 50%
  • Natural Language Processing 50%
  • Classifier 50%
  • Computer Vision Applications 50%
  10 Citations (Scopus)