% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@INPROCEEDINGS{Conjeti:145637,
      author       = {Conjeti, Sailesh},
      title        = {{W}ebly {S}upervised {L}earning for {S}kin {L}esion
                      {C}lassification},
      reportid     = {DZNE-2020-00967},
      year         = {2018},
      abstract     = {Within medical imaging, manual curation of sufficient
                      well-labeled samples is cost, time and scale-prohibitive. To
                      improve the representativeness of the training dataset, for
                      the first time, we present an approach to utilize large
                      amounts of freely available web data through web-crawling.
                      To handle noise and weak nature of web annotations, we
                      propose a two-step transfer learning based training process
                      with a robust loss function, termed as Webly Supervised
                      Learning (WSL) to train deep models for the task. We also
                      leverage search by image to improve the search specificity
                      of our web-crawling and reduce cross-domain noise. Within
                      WSL, we explicitly model the noise structure between classes
                      and incorporate it to selectively distill knowledge from the
                      web data during model training. To demonstrate improved
                      performance due to WSL, we benchmarked on a publicly
                      available 10-class fine-grained skin lesion classification
                      dataset and report a significant improvement of top-1
                      classification accuracy from $71.25\%$ to $80.53\%$ due to
                      the incorporation of web-supervision.},
      month         = {Sep},
      date          = {2018-09-16},
      organization  = {MICCAI 2018, Granada (Spain), 16 Sep
                       2018 - 16 Sep 2018},
      subtyp        = {Other},
      cin          = {AG Reuter},
      cid          = {I:(DE-2719)1040310},
      pnm          = {345 - Population Studies and Genetics (POF3-345)},
      pid          = {G:(DE-HGF)POF3-345},
      typ          = {PUB:(DE-HGF)6},
      url          = {https://pub.dzne.de/record/145637},
}